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Article

Sustainability Study of a Residential Building near Subway Based on LCA-Emergy Method

1
School of Architecture, Sanjiang University, Nanjing 210012, China
2
School of Civil and Ocean Engineering, Jiangsu Ocean University, Lianyungang 222005, China
3
School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, China
4
M.E. Rinker, Sr. School of Construction Management, College of Design, Construction and Planning, University of Florida, Gainesville, FL 32603, USA
5
School of Architecture, Soochow University, Suzhou 215123, China
6
School of Art, Anhui University of Finance and Economics, Bengbu 233030, China
7
Tourism and Urban-Rural Planning College, Chengdu University of Technology, Chengdu 610059, China
8
School of Art and Design, Changzhou University, Changzhou 213159, China
*
Authors to whom correspondence should be addressed.
Submission received: 21 April 2022 / Revised: 11 May 2022 / Accepted: 17 May 2022 / Published: 19 May 2022
(This article belongs to the Special Issue Urban Climate, Comfort and Building Energy Performance)

Abstract

:
In the context of ecological building and green building popularity, building sustainability assessment is becoming more and more important. In this paper, a comprehensive evaluation platform by coupled LCA method and energy method was designed, verified, and analyzed to assess the sustainability of the building system. The main results illustrated that the construction stage is the most critical stage in terms of emergy angle. From a sustainability perspective, the Emergy Sustainability Indicator was at a moderate level (1.0141), which can be considered to increase the proportion of renewable energy and reduce the proportion of non-renewable resources to improve the sustainability degree. Of the three scenarios designed, the second scenario has the best sustainability in the building system. The unit emergy value of the whole building was also shown to demonstrate the unit emergy of an individual. In order to verify the accuracy of the data, a sensitivity analysis was conducted. Finally, two types of positive measures are proposed to ameliorate the environmental sustainability in the building system, containing the increasing proportion of renewable energy and using recycled building materials.

1. Introduction

Facing the exhaustion of non-renewable energy and the increasingly serious environmental pollution, sustainable architecture has positive effects in the face of these dilemmas. Especially in China, the energy consumption of buildings and rapid urbanization are particularly serious in the past thirty years. According to the report on the state of the environment in China, 3.9 billion tons of raw coal and 200 million tons of crude oil were consumed in 2020, also causing serious environmental pollution and energy crisis [1]. A sustainable building can effectively reduce the consumption of fossil energy and environmental pollution. In this paper, the related studies of sustainable building are concerned.
The evaluation of sustainable building is a hot research topic at present. Many scholars have made in-depth studies. Generally speaking, they can be divided into three categories, which are sustainable building assessment, architectural construction, and different building types. From the perspective of sustainable building assessment, such as Roostaie et al. executed the resilience indicators in building sustainability assessment frameworks [2]. The green building retrofit strategies have been carried out through a building-scale food-energy-water nexus [3]. Cloud-based sustainability assessment system has been used for the sustainability decision-making process of building systems [4]. Taking the residential building as an example, the rapid assessment method was adopted to evaluate sustainability in the building system [5]. From the point of view of architectural construction, such as some authors study the social sustainability assessment framework to manage sustainable construction in residential buildings [6]. The critical criteria benchmark of residential buildings in a tropical climate has been built based on a sustainability perspective [7]. A BIM-based Life Cycle Sustainability Assessment method has been considered to perform environmental, economic, and social assessments during the building design process [8]. Based on different building types, several studies have been executed, such as Sustainable renewal of buildings is a major challenge and several researchers have completed the literature review [9]. The school building system has been assessed based on a sustainable angle [10]. Various sustainability retrofits of building in the tropical climate have been executed by multi-criteria decision-making [11]. The sustainability of Heating, Ventilation, and Air-Conditioning systems has been summarized in Buildings [12]. Building sustainability assessment system trends have been predicted through a comprehensive bibliometric mapping method [13]. Given the sustainability perspective, green building rating systems have been studied [14]. From a sustainability perspective, modern high-rise timber buildings were chosen to assess [15].
To date, there are many methods for building system design and evaluation. Therein, the emergy approach [16] has an obvious advantage to assess sustainability, which can realize a unified platform to compare the different systems to confirm the sustainability level. It can be used for a lot of systems, such as agricultural studies [17,18], city system [19,20], green building direction [21,22], production system [23,24], ecology [25], pollutant treatment system [26] and traffic field [27], etc.
The details of energy in the building system can be described as follows: For instance, the emergy theory and building information modeling were combined into a building system to evaluate sustainability [28]. For building refurbishment, several strategies have been conducted based on the emergy-LCA method [29]. As the basic components of a building system, building materials sustainability has been also a concern by scholars [30,31,32]. By using emergy evaluation, the major highway building was assessed for decision making in Italy [33]. Take a zero-energy building, for example, American scholars have redefined zero-energy buildings based on the emergy approach [34]. Lin and William studied the high-density and high-rise buildings by using emergy analysis to calculate density parameters [35]. To measure the renovation effect, emergy method has been selected to assess environmental performance [36]. Hwang and William considered the emergy analysis for building uncertainty [37]. By integrating the emergy method, energy analysis, and Taguchi-regression method, the building system has been evaluated [38].
However, a series of weaknesses can be found in these articles, including: (1) old emergy calculation baseline; only a few articles use the latest emergy baseline to calculate. (2) Lack of life cycle assessment (LCA) angle to evaluate in building system; in this literature, only part of the building system was selected for evaluation, such as only building materials, etc. (3) Incomplete emergy indicators; to achieve the whole emergy sustainability evaluation result, complete evaluation indicators need to be provided for reference. The above three disadvantages demonstrate that it is necessary to have a new assessment in building system based on emergy approach.
This paper aims to assess the ecological sustainability of building systems through the LCA-emergy method. Meanwhile, three renovation scenarios were designed and implemented in the case building, which provide a reference for the sustainable development of future architecture.
Finally, the structure of the whole article is organized as follows: after the introduction section, Section 2 is the methodology, including research framework, emergy approach introduction, life cycle stages confirmation, various inputs calculation, three renovation scenarios, sustainable indicators, unit emergy value calculation, and sensitivity analysis. Section 3 is the case study. Section 4 displays the results and discussion, involving basic emergy calculated tables, renovation phase emergy calculation, LCA-emergy analysis, emergy indicator analysis, sustainability analysis, and sensitivity analysis. Section 5 discusses the preventive strategies and positive suggestions. Finally, the main conclusions are summed up in Section 6.

2. Methodology

2.1. Research Framework

The overall research framework is displayed in Figure 1. Firstly, the research boundary was confirmed, including all phases of the building’s life cycle, which are the building material stage, construction stage, operation stage, renovation stage and demolition stage, etc. Secondly, the resource input was defined, involving material, energy, and humor service. Thirdly, the assessment indicators were prepared and listed, mainly having the Environmental loading ratio (ELR), Emergy yield ratio (EYR), and Emergy sustainability index (ESI). In the end, three renovation scenarios (A, B, C) were conducted in the building. Through an assessment of a series of indexes, the sustainability of three building systems were calculated and analyzed in this paper.

2.2. Emergy Approach

Emergy methodology is a tool to assess the sustainability of the system and was proposed by H.T. Odum firstly [16], which can provide a comprehensive platform to compare different types of inputs, such as energy, mass, service, etc. By utilizing emergy theory, the relationship between economy, society, and environment, can be evaluated quantitatively. The unit of emergy is the solar joule (sej) the emergy diagram has been designed and displayed in Figure 2.
There are three basic steps to calculate the process: (i) define and confirm the boundary of the evaluated system, containing the main system part, renewable input, nonrenewable input, emission, and output parts; (ii) primary emergy table to compute for further analysis; (iii) adopting a series of indicators to analyze the sustainable state in the building system, including Emergy intensity, Emergy per RMB, Emergy density, Renewability rate, Nonrenewability rate, Nonrenewability rate of purchased resource, Purchased emergy dependence level, Emergy investment ratio, Environmental loading ratio, Emergy yield ratio, and Emergy Sustainability Indicator, etc.
In addition, before emergy calculation, the baseline should be selected. To date, there are five types, which are 9.44 × 1024 sej/year [16], 9.26 × 1024 sej/year [39], 15.83 × 1024 sej/year [40], 15.2 × 1024 sej/year [41], and 12 × 1024 sej/year [42]. This paper uses the latest emergy baseline (12 × 1024 sej/year) for the emergy calculation.

2.3. Life Cycle Stages Confirmation

In order to conduct the emergy analysis for the building system, five phases have been described in detail, as follows:
(1)
Building material stage
This stage mainly involves the type and input of building materials, such as cement, brick, steel, concrete, water, lime, sand, wood, etc. These building materials are mainly used in the construction of building infrastructure.
(2)
Construction stage
During the construction phase, there are six subsystems to consider and calculate, as follows:
  • Infrastructure subsystem: it can be divided into the building envelope, inter construction, basic interior, civil works, etc.
  • Water supply and sewerage treatment subsystem: inner and outer water supply system, sewerage system, civil engineering, construction operations.
  • Heat subsystem: piping system, heat exchange works, related civil works, and construction operations.
  • Electrical subsystem: building inner electricity installation, outer grid connection engineering, related civil works, and construction operations.
  • Elevator subsystem: infrastructure elevator system and installation, related civil works, and construction operations.
  • Other subsystems: Fire alarm system installation, telephone and video system installation, related civil works, and construction operations.
(3)
Operation stage
The operation phase mainly involves the following links.
  • Heat subsystem: for the building indoor heating, to ensure the comfort of the human body; Hot water for use.
  • Electricity subsystem: for lighting use, cooling use, and electrical equipment use.
  • Water subsystem: tap use and hot water use.
  • Maintenance works: civil work of operation stage.
(4)
Renovation stage
Building renovation involves the improvement of building envelope thermal performance and power regeneration system (Solar power subsystem installation and related construction operations).
(5)
Demolition stage
  • Demolition works: building disintegration construction and related civil work.
  • Separation works: select recyclable materials and recyclable materials.
  • Recycling works: reuse recycled materials and related civil work.
  • Landfilling works: Landfill for materials that cannot be recycled.

2.4. Various Inputs Calculation in the Building System

There are eight types of several inputs. All resource inputs have been listed, as follows:
(1)
Land use
Due to fact that the building will lead to permanent soil erosion and make the land lose biocapacity. The emergy of soil erosion can be calculated as [43]:
E L = V L × ρ L × F L × E L × U E V L
where V L is the excavated soil volume (m3); ρ L represents the soil density (kg/m3); F L is the organic matter in the soil (%); E L shows the soil energy value (J/kg); while U E V L is the unit emergy value of used land for building system (Sej/J).
(2)
Soil irradiation
There are the inputs of solar irradiation on the building site [44,45]. The heat gains include the value during the building operation period. The emergy of solar radiation on the construction site can be got, as:
E S = A S × I S × ( 1 β ) × T S × U E V S
where A S is the construction site surface (m2); I S is the annual amount of solar radiation (J/m2yr); β is the ground albedo value; T S is the construction time (yr); U E V S is the unit emergy value of solar energy.
E e represents the solar gains emergy flow on the building envelope and could be obtained, as follows:
E e = Q e × T e × U E V S
where Q e are the annual solar gains on the envelope (J/yr); T e is the building operation total time (yr).
(3)
Materials
Entire material in all five stages of the building lifetime needs to be calculated, as follows:
E m , i = m i , j × U E V i , j
where E m , i is the emergy flow of all subsystem construction (sej); m i , j is the used material amount (kg); U E V i , j is the unit emergy value of all materials (sej/kg).
(4)
Electricity
There are two types of electricity used in the building system. On kind is the electricity which is got from on-site generators by diesel fuel. Another is the electricity from the power grid. The total emergy flow of electricity can be got by using Equation (5).
E el = R e l × T e l × U E V e l
where R e l is the annual electricity used value (J/yr); T e l is the time (yr); U E V e l is the unit emergy value of electricity (Sej/J).
(5)
Water
The total water emergy consumed in the building construction can be obtained from Formula (6).
E w 1 = V w × ρ w × U E V w
The emery flow of water consumed and used (domestic hot water) can be obtained as Equation (7).
E w 2 = η w × μ w × ρ w × 365 × T w × U E V w
where V w is the water used in the construction stage (m3); ρ w is the water density (kg/m3); ρ w is the unit emergy value of water (sej/kg); η w is the specific daily water consumption per occupant (m3/person/day); μ w is the number of occupants (person).
(6)
Heat
The heat emergy flow of the whole building lifetime can be computed as Formula (8):
E heat = C h e a t × T h e a t × U E V h e a t
where C h e a t is the heat amount annually (J/yr); T h e a t is the time (yr); U E V h e a t is the unit emergy value of heat value (sej/J) [46].
(7)
Diesel fuel
Because of the huge usage of diesel fuel during the construction phase, the diesel fuel usage needs to be calculated based on emergy methods, which are material transportation, workers transportation, machinery transportation, and electricity generators.
The emergy flow of transportation can be computed, as follows in Equation (9) [47]:
E m = N m × D m × H V m × U E V m × F m × ( 1 + μ m )
where N m is the deliveries number (del.); D m is the distance of one delivery (km); H V m is the low heating value of diesel fuel (J/1); U E V m is the unit emergy value of diesel fuel (sej/J); F m is the used fuel of transportation vehicle (1/km); μ m is the transportation vehicle fuel consumption ratio.
The number of deliveries and vehicle consumption ratio have the relationship, as follows:
N m = j = 1 N m i , j / C max
μ m = F m F m 1
where C max is the transportation vehicle’s maximum capacity (kg); F m is the used fuel without a load (1/km).
The emergy flow of workers can be got as follows [48]:
E worker = N w × D w × H V w × U E V w × F w × C w
where N w is the worker number; D w is the engineering date (days); H V w is the daily distance (km); C w is the car’s average fuel consumption (1/km).
The emergy of heavy machines can be obtained, as follows:
E machine = N m a × H V m a × U E V m a × F m a × ( 1 + θ )
θ = F m a 1 F m a
N m a is operation hours (h); F m a 1 and F m a are hourly fuel consumption with and without load, respectively (1/h); θ is the used fuel ratio.
The emergy flow of the fuel to produce electricity can be calculated as follows:
E ele = χ ele × A m a × H V m a × U E V m a
where χ ele is the generator fuel consumption (1/m2).
(8)
Human service
The used human labor can be obtained, as follows:
E h = δ h × U E V h
where δ h are the working hours of one employee (h); U E V h is the unit emergy value of human service (sej/h).

2.5. Three Renovation Scenarios

In this paper, three improvements have been conducted to the building system, including thermal performance improvement and enhancing the clean electricity usage proportion. To perfect the building’s thermal performance, the new insulation layers have been used on the building envelope. Meanwhile, a double-insulated glass window has been also utilized and installed for improved thermal effect in the building system. Finally, new solar photovoltaic panels were designed on the side to generate electricity for the usage of the building.
  • Renovation scenario 1: The main difference is the application of the 20 cm vacuum insulating board as the layer on walls;
  • Renovation scenario 2: The main difference is the application of a double-insulated glass window as the improved window;
  • Renovation scenario 3: The main difference is the application of the new solar photovoltaic panels to get the clean power;
  • In addition, the same conditions apply to the three scenarios.
Theoretically speaking, when the renovations have been executed, the entire emergy of the building system is lower than the state without renovation measures. However, the renovation processes need more material input and energy input, resulting in a higher emergy input than the imagined result. Thus, the optimal result should be got based on the final calculation.

2.6. Sustainable Indicators

Table 1 shows the main indexes based on emergy angle, as follows:
  • Emergy intensity (Ep) is defined as the emergy per unit area, which interprets the emergy production proportion.
  • Emergy per RMB (Ee) is the emergy per economy (sej/RMB), and it demonstrates the relation between ecological emergy and economy.
  • Emergy density (Ed) is the emergy per person (sej/per), which explains the emergy per capita.
  • Renewability rate (Re) is a ratio that demonstrates the relationship between renewable input and the entire emergy. A higher renewability ratio illustrates a better ecological level.
  • Nonrenewability rate (Nr) is the proportion between the nonrenewable emergy and total emergy. Higher Nr represents a worse ecological level.
  • The nonrenewability rate of purchased resource (Np) reveals purchased resource emergy input level. Higher Np means a worse sustainable degree.
  • Purchased emergy dependence level (Pe) displays the competitiveness of the system. Bigger Pe means a stronger competitive power.
  • Emergy investment ratio (EIR) is the rate of purchased emergy and the sum of renewable emergy and nonrenewable emergy. It interprets the economic input degree. The lower the EIR is, the weaker the system competitiveness is.
  • The environmental loading ratio (ELR)is the proportion between nonrenewable emergy and purchased emergy. The standard can be clearly defined, which are low values (ELR < 2), medium intensity (3 < ELR < 10), and high environmental load (ELR > 10).
  • Emergy yield ratio (EYR) is the emergy production ability and can positively evaluate the competitiveness of a system. The higher the EYR is, the better the consequence of the system is.
  • Emergy sustainability index (ESI): ESI can be obtained based on EYR and ELR, which explains the sustainability of the system. In general, three standards can be referenced, including ESI < 1 (Unsustainable), 1 < ESI < 5 (Medium situation), and ESI > 5 (Sustainable) in the long term [49].

2.7. Unit Emergy Values (UEVs) Calculation

From the emergy perspective, Unit emergy values (UEVs) are the pivotal concept, which reflects the unit energy rate. The lower the UEVs is, the stronger the system competitiveness is. Generally speaking, it can be divided into three forms, which are emergy of per unit of energy (J), substance (g), and economic ($), so the unit of UEV is sej/j, sej/g, and sej/$. In a system, greater UEV demonstrates a higher hierarchy.

2.8. Sensitivity Calculation

In order to keep the accuracy of the calculation, the sensitivity analysis has been executed. The general equation is as follows:
E si = [ ( H + φ ) × i ] × [ ( K + γ ) × i ]
where E si is the emergy; H is the input, involving various input elements; K is the UEVs (unit emergy values); φ and γ are the errors of H and K, respectively.

3. Case Study

A residential building adjacent to a subway station was selected as the case study. From Figure 3, Figure 4, Figure 5, Figure 6 and Figure 7, the basic model diagrams have been presented. This building is located in Nanjing, which has a north subtropical humid climate. The annual mean temperature is 15.4 °C, the annual extreme temperature is 39.7 °C, and −13.1 °C. The building has an area of about 5000 square meters and was built in 2013. The total budget cost is 80 million yuan, and 120 people are expected to use it. As a residential building, there are 28 units to meet the needs of the residents. The building is a reinforced concrete structure with seven floors and full-brick facades with polystyrene panels for insulation. The parking garage is located on the ground floor. During the renovation, a solar photovoltaic system will be installed on the roof in the future. The building has an independent heating system with natural gas boilers. The electricity consumption can be got from the power grid company.
According to national standards [50], the life of the entire building has 70 years. Because the building is near a subway station, the facade is affected by vibrations, which needs to consider the reinforcement measures (Updated every 7 years). Hence, in this paper, nine years (2027, 2034, 2041, 2048, 2055, 2062, 2069, 2076, 2083) were designed and arranged for renovations.

4. Results and Discussion

4.1. Basic Emergy Calculated Tables

In this section, four stages of the building system have been selected and calculated, including Table 2, Table 3, Table 4 and Table 5.

4.2. Renovation Phase Emergy Calculation

Three renovation scenarios have been calculated in Table 6, including insulating board renovation, glass window renovation, and solar photovoltaic panels renovation.

4.3. Life Cycle Assessment and Emergy (LCA-Emergy) Analysis

Through the five stages analysis in the building system, a fact can be found that the main emergy contributor is the construction stage (1.08 × 1022 sej), followed by operation stage (1.21 × 1020 sej), building material stage (3.38 × 1019 sej), demolition stage (6.59 × 1017 sej) and renovation stage (total 1.5 × 1017 sej). Therein, in terms of proportion angle, the construction stage is much larger than the other stages, because it needs a series of resource and energy inputs to complete the building construction.
(1)
Building material stage analysis
From the point of building material view to analyze, there are 22 inputs to the building material system. Among them, the most important factors are gravel (1.17 × 1019 sej), brick (1.09 × 1019 sej), cement (5.17 × 1018 sej), steel (2.76 × 1018 sej) and iron (1.15 × 1018 sej), accounting for 34.62%, 32.25%, 15.3%, 8.17% and 3.4% of total building material emergy, respectively (in Figure 8).
(2)
Construction stage analysis
For construction stage, it entails seven subsystems, which are environmental inputs, service input, water supply, sewerage system construction, heating, and cooling systems, electricity installations, telecommunications system installations, and elevator systems. Therein, service input plays an essential role in the construction stage. In particular, diesel fuel for generators and heavy machinery diesel is the major consumption.
For the environmental inputs subsystem, two primary elements have been selected and considered, which are land use and solar irradiation, respectively. Land use is the main input part from an emergy perspective.
The water supply and sewerage subsystem is also an indispensable link for the building system. This paper has 15 types of resource inputs. PVC, Galvanized steel, and Ceramic work the primary effect on the water supply and sewerage subsystem (see Table 3).
Heating and cooling subsystems have nine inputs. The three most important factors are brass, glass wool, and stainless steel, which account for 70.9% (sum of three inputs) for heating and cooling subsystems (in Figure 9).
As the important infrastructure of the building system, Electricity installations, Telecommunications system installations, and Elevator systems are necessary, but they have a secondary effect based on an emergy view.
(3)
Operational stage analysis
In Table 4, the operational stage emergy has been listed and shown, the crucial input is heat, which has the dominant position.
(4)
Operational stage analysis
Table 5 displays the emergy distribution of the demolition phase. On the one hand, concrete is the major input element, accounting for 92.8% of the recycling part emergy; on the other hand, for the Landfill process, non-recycled materials are the central wastes that need to be disposed of.
(5)
Renovation stage analysis
Analysis from the emergy of the entire building system, the renovation phase doesn’t have enough influence and plays a secondary role. However, this phase provides renewable resources and energy supplements for the building system and is the necessary means to maintain the use of the building.
By comparing with three renovation scenarios in line with emergy, renovation scenario 1 provides more inputs than renovation scenario 2 and renovation scenario 3 on the basis of sustainability alone, renovation scenario 2 can be considered more.

4.4. Emergy Indicator Analysis

Table 7 shows the ecological indicators of the building system. Therein, 1–7 items are the basic input and 8–18 items are the primary evaluated indicators. The specific analysis is as follows:
  • Emergy intensity (Ep) is 8.92 × 1019 sej/person, which presents the unit emergy per person and can be regarded as the embodiment of competitiveness.
  • Emergy per RMB (Ee) is 1.34 × 1014 sej/RMB. It is an economic index of the system, illustrating the economic competitiveness of the system.
  • Emergy density (Ed) is 2.14 × 1018 sej/m2, which displays a relatively high degree of unit emergy per area.
  • The renewability rate (Re) is 0.0113, revealing a low renewable rate. It needs to supplement renewable emergy to improve the sustainability of the system.
  • The nonrenewability rate (Nr) is 0.982, which uncovers an excessive resource input and brings considerable pressure on the evaluated system.
  • The nonrenewability rate of purchased resources (Np) is 0.0112, which illustrates the weak economic emergy input and the need to adjust the economic relationship between economic input and system state.
  • The purchased emergy dependence level (Pe) is 0.0109, expounding the system competitiveness. Greater Pe means stronger external emergy input.
  • The emergy investment ratio (EIR) is 0.00109, which shows a low investment in the building system.
  • The environmental loading ratio (ELR) is 89.256. It is a high degree of environmental stress. According to the related standard [49], when ELR is more10, the system is within a high environmental load level.
  • Emergy yield ratio (EYR) is 90.5164, which represents a better input for the building system.
  • Emergy Sustainability Indicator (ESI) is 1.0141. It is the most vital indicator of sustainability in terms of emergy theory. Based on the literature [49], the result is relatively acceptable, but there is still a need to improve the level of sustainability in the long run.

4.5. Sustainability Analysis of the Renovation Stage Subsystem

Based on Table 1, the key indicators have been selected and considered, which are the Environmental loading ratio (ELR), Emergy yield ratio (EYR), and Emergy Sustainability Indicator (ESI), respectively. In Table 8, three renovation scenarios have been calculated to assess the subsystem state.
Aking the ELR as an example, it has the biggest value in renovation scenario 1, followed by renovation scenario 3 and renovation scenario 2. The reason for this phenomenon is that renovation scenario 1 uses the most emergy than others, resulting in more stress in renovation scenario 1. From the EYR point of view, there is not much difference between the three renovation scenarios. In renovation scenario 2, the EYR has the highest value, demonstrating it has higher productivity and is more efficient. According to the accepted standard [49], the optimal sustainability effect is in renovation scenario 2 (ESI = 0.3692). Compared with renovation scenario 2, renovation scenario 1 has a poor sustainability rate (ESI = 0.1414). Renovation scenario 3 is in an intermediate state of sustainability (in Figure 10).

4.6. Unit Emergy Values (UEVs)

In this paper, the unit emergy values have been focused on and calculated. From the point of view of the whole building, UEVs are 2.14 × 1018 sej/m2 (in Table 7), which displays a relatively high degree of unit emergy per area. Two reasons should be responsible for this result. On the one hand, the value represents the judgment of the whole life cycle of the building rather than one stage; On the other hand, this calculation is based on 70 years of statistics. Despite this, it is higher than others and illustrates the building system needs to enhance its sustainability in the long term.
To demonstrate and display the results more clearly, through literature search, a series of articles on building and emergy have been found in the last ten years. The specific details have been compared in Table 9. Through the analysis of various indicators, at present, the articles have not carried out a comprehensive UEVs calculation and analysis in the building system based on LCA-emergy methodology. This article fills the gap following the latest data. To date, the UEVs (2.14 × 1018 sej/m2) of the building system could be optimized by the replacement of renewable materials, adjusting of structure, and development of renewable energy.

4.7. Sensitivity Analysis

In order to obtain the detailed sensitivity analysis, two assumptions are executed as follows (Table 10).
Hypothesis 1 (H1).
Choosing the primary contributor in the building system, a 10% reduction emergy is implemented, and others remain unchanged to adjust the floating of the pivotal indicator. The dominating contributor contains the construction stage, operation stage, and building material stage (from Section 4.3). The staple indicators have eight items, including Renewability rate, Nonrenewability rate, Nonrenewability rate of purchased resource, Purchased emergy dependence level, Emergy investment ratio, Environmental loading ratio, Emergy yield ratio, and Emergy Sustainability Indicator.
Hypothesis 2 (H2).
Five percent emergy increment was conducted to assess the prime indexes changes. All the other states remain the same as hypothesis 1.
In Figure 11 and Figure 12, the variation ranges of various indicators have been shown under the 10% emergy reduction hypothesis. Therein, EIR has the biggest change (−13.76%), followed by Pe (−12.84%), Np (−12.5%), Nr (10.02%), ELR (10%), EYR (9.78%), Re (−7.96%) and ESI (−0.25%). As the most critical indicator of sustainability, ESI fluctuates by only −0.25%, which manifests the sensitivity change can be accepted and it has good stability to keep the accurate results.
Figure 13 and Figure 14 detail variation ranges of key indicators based on the 5% increment hypothesis. The absolute values of changes from largest to smallest are Re (−7.08%), ELR (5%), Nr (4.98%), EYR (4.89%), Np (−3.57%), Pe (−2.75%), EIR (−2.75%) and ESI (−0.1%), respectively. ESI hardly changes and also verifies the building system stability.

5. Strategies and Suggestions

From the above analysis (Section 4), it can be seen that the sustainability of the whole building system needs to be optimized and improved. This paper adopts two ways to enhance the sustainability in the building system, involving increasing the proportion of renewable energy and using recycled building materials.
(1)
Enhancing renewable energy proportion in the building system
In the building system, renewable energy plays a positive effect on sustainability. However, until now, there is not enough sustainable energy to contribute to the system (see Section 4.1). In order to perfect the energy structure, a series of new renewable energy types should be considered and adopted, involving solar power, hydropower and wind power, etc. Taking the renovation scenario as an example, if the proportion of renewable energy is increased to 20%, the overall ESI of the system can be improved by 61.24%. However, the development of renewable resources is limited by several defects, such as enormous investment, professional and technical barriers, and geographical conditions. To expand the use of renewable energy, financial subsidies and favorable tax policies should be considered to adopt. Fortunately, a number of researchers have been working on this, including solar power, hydropower, wind power, etc. For example: For the weaknesses of solar power generation, intermittency and aggregation were investigated and studied in China [67]. In addition, a novel concentrated solar power system is proposed and analyzed, which provides great competitiveness and high efficiency [68]. The relationship between hydropower generation and drought was investigated by some authors in Brazil [69]. The valley stress distribution characteristics of hydropower engineering projects were a concern in China [70]. By integrating the machine learning method and fluid dynamic analysis, urban wind speed and wind power were discussed [71]. To predict wind power, a comprehensive approach was attempted Based on a Hybrid Granular Chaotic Time Series Model [72].
(2)
Circulating material substitution
Another feasible method is the alternative use of recycled materials. In this study, the nonrenewable resource is the main contributor to the building system, accounting for more than 90% of total emergy (approximately 98.2%), so using reproducible material is an effective way to promote sustainability. For instance, if 20% of the nonrenewable resource is replaced in the building system, the ELR indicator can increase by 25% and will greatly reduce the pressure on the environment. Therefore, a lot of scholars have spent a lot of time implementing alternative materials, containing industrial slag, construction waste, metallurgical waste, mining waste, fuel waste, chemical waste, etc. For example, through the use of recyclable materials [73], the sustainability of the system can be enhanced and improved. So in this article, we can try the same approach for better sustainability in the building system.

6. Conclusions

According to the LCA-Emergy angle and perspective, a residential building near the subway was selected, investigated, and analyzed in this paper; the main conclusions are summarized as follows:
(1)
Through the five stage analysis in the building system, a fact can be found that the main emergy contributor is the construction stage, followed by the operation stage, building material stage, demolition stage, and renovation stage.
(2)
Emergy Sustainability Indicator (ESI) is 1.0141, which is the most vital indicator of sustainability in terms of emergy theory. Based on the related standard, the result is relatively acceptable, but there is still a need to improve the level of sustainability in the long run.
(3)
Compared with renovation scenario 2, renovation scenario 1 has a poor sustainability rate (ESI = 0.1414). Renovation scenario 3 is in an intermediate state of sustainability.
(4)
From the point of view of the whole building, UEVs are 2.14 × 1018 sej/m2, which displays a relatively high degree of unit emergy per area.
(5)
Two assumptions are executed (10% reduction and 5% increment), which have both verified the building system stability.
In the last part, two strategies and suggestions were conducted to enhance the sustainability of the building system, including increasing the proportion of renewable energy and using recycled building materials.
In this article, the LCA-emergy methodology was adopted to assess the sustainability of the building system. Its most obvious advantage is that it can combine and integrate the advantages of the emergy method with the advantages of the LCA method. At the same time, for other architectural cases, this method can be popularized and applied and it has extensive reference significance for related researchers.

Author Contributions

Data curation: X.C.; Conceptualization: H.W., J.Z.; Investigation: X.C., G.W. (Guodong Wu), G.W. (Guobin Wei), Y.S., M.Y.; Formal analysis: X.C.; Methodology: H.W., J.Z.; Writing review and editing: J.Z., H.Z., A.T.A.; Project administration: H.W.; Validation: J.Z., A.T.A.; Supervision: H.Z.; A.T.A.; Software: G.W. (Guodong Wu), G.W. (Guobin Wei); Visualization: Y.S., M.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Natural science research project of colleges and Universities of Jiangsu Province: A Study on the commercial Design of the connection space between the subway station and station domain: A case study of Nanjing city (20KJD560007).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. LCA-Emergy research framework.
Figure 1. LCA-Emergy research framework.
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Figure 2. Emergy diagram of the whole building system.
Figure 2. Emergy diagram of the whole building system.
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Figure 3. 3D building update model (Front).
Figure 3. 3D building update model (Front).
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Figure 4. 3D building update model (Back).
Figure 4. 3D building update model (Back).
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Figure 5. The facade update (view A).
Figure 5. The facade update (view A).
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Figure 6. The facade update (view B).
Figure 6. The facade update (view B).
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Figure 7. Roof renewal construction.
Figure 7. Roof renewal construction.
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Figure 8. The proportion of each material input (unit: 1017 sej).
Figure 8. The proportion of each material input (unit: 1017 sej).
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Figure 9. All inputs of heating and cooling subsystems (unit: 1015 sej).
Figure 9. All inputs of heating and cooling subsystems (unit: 1015 sej).
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Figure 10. Key indicators comparison.
Figure 10. Key indicators comparison.
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Figure 11. Comparison of former and latter based on 10% reduction.
Figure 11. Comparison of former and latter based on 10% reduction.
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Figure 12. The variation range of key indicators based on a 10% reduction.
Figure 12. The variation range of key indicators based on a 10% reduction.
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Figure 13. Comparison of former and latter based on 5% increment.
Figure 13. Comparison of former and latter based on 5% increment.
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Figure 14. The variation range of key indicators based on a 5% increment.
Figure 14. The variation range of key indicators based on a 5% increment.
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Table 1. Emergy indicators.
Table 1. Emergy indicators.
NoteItemsIndexExpressionMeanings
1Renewable resource emergyRRRenewable input
2Nonrenewable resource emergyNNNonrenewable input
3Energy emergyEENon-energy emergy input
4External input emergyFFArtificial emergy input
5Labor and service emergyLLLabor and service input
6Total emergy usageUUThe whole emergy
7Emergy inputIIHolistic emergy investment
8Emergy intensityEpU/PEmergy per unit area
9Emergy per RMBEeU/MEmergy per unit economy
10Emergy densityEdU/AEmergy per unit person
11Renewability rateReR/URenewable proportion
12Nonrenewability rateNrN/UNonrenewable proportion
13Nonrenewability rate of purchased resourceNpF/NPurchased resource rate
14Purchased emergy dependence levelPeF/UPurchased emergy rate
15Emergy investment ratioEIRF/(R + N)Building investment level
16Environmental loading ratioELRN/REnvironmental pressure
17Emergy yield ratioEYR(R + N + F)/FAbility to obtain emergy
18Emergy Sustainability IndicatorESIEYR/ELRSustainable degree
Table 2. Emergy table of Building materials.
Table 2. Emergy table of Building materials.
ItemDataUnitUEVsUEVs Ref.Emergy (sej)
Gravel9.19 × 106kg1.27 × 1012[51]1.17 × 1019
Brick3.91 × 106kg2.79 × 1012[43]1.09 × 1019
cement1.76 × 106kg2.94 × 1012[21]5.17 × 1018
Lime7.72 × 104kg1.28 × 1012[52]9.89 × 1016
Sand5.07 × 105kg1.27 × 1012[21]6.44 × 1017
Water1.68 × 106kg2.67 × 109[16]4.49 × 1015
Iron3.67 × 105kg3.15 × 1012[45]1.15 × 1018
Wood7.57 × 104kg6.68 × 1011[45]5.06 × 1016
Polyester5.45 × 103kg7.34 × 1012[53]4.00 × 1016
Adhesive1.26 × 104kg7.25 × 1011[53]9.17 × 1015
Bituminous4.64 × 103kg2.4 × 1012[54]1.11 × 1016
Glass2.49 × 104kg1.07 × 1012[43]2.67 × 1016
Steel1.31 × 106kg2.1 × 1012[55]2.76 × 1018
Aluminum2.57 × 102kg9.65 × 1011[45]2.48 × 1014
Galvanized steel1.01 × 104kg3.53 × 1012[56]3.55 × 1016
Ceramic tile1.06 × 105kg2.43 × 1012[57]2.57 × 1017
Polystyrene6.78 × 103kg5.23 × 1012[45]3.54 × 1016
Paint2.50 × 104$1.94 × 1013[43]4.86 × 1017
Fly ash5.01 × 103kg1.78 × 1013[21]8.91 × 1016
PVC1.59 × 103kg7.49 × 1012[43]1.19 × 1016
Roof tile8.08 × 104kg2.79 × 1012[43]2.25 × 1017
Diesel fuel1.10 × 1012J1.36 × 105[16]1.50 × 1017
Total3.38 × 1019
Table 3. Emergy table of Building construction stage.
Table 3. Emergy table of Building construction stage.
ItemDataUnitUEVsUEVs Ref.Emergy (sej)
Environmental Inputs
Land use6.16 × 1012J9.42 × 104[43]5.81 × 1017
Solar irradiation1.38 × 1013J1.00[16]1.38 × 1013
Total5.81 × 1017
Service Input
Diesel fuel for generators3.61 × 109J1.28 × 1012[16]4.62 × 1021
Heavy machinery diesel4.78 × 109J1.27 × 1012[16]6.07 × 1021
Employees transport diesel2.34 × 1010J2.67 × 109[16]6.24 × 1019
Human labor4.13 × 103h3.15 × 1012Cal.1.30 × 1016
Total1.08 × 1022
Water Supply and Sewerage System Construction
Galvanized steel2.54 × 104kg3.53 × 1012[56]8.97 × 1016
PVC1.75 × 105kg7.49 × 1012[43]1.31 × 1018
Polystyrene1.15 × 103kg6.7 × 1012[51]7.70 × 1015
Brass3.93 × 102kg1.33 × 1012[46]5.23 × 1012
Polypropylene2.77 × 101kg7.49 × 1012[56]2.07 × 1012
Cast iron4.44 × 102kg3.37 × 1012[51]1.50 × 1015
Glass fiber1.78 × 100kg2.28 × 1012[55]4.06 × 1012
Steel3.47 × 103kg2.1 × 1012[55]7.28 × 1015
Iron3.33 × 101kg3.15 × 1012[45]1.05 × 1014
Ceramic6.88 × 103kg2.43 × 1012[57]1.67 × 1016
Glass1.66 × 103kg1.07 × 1012[43]1.78 × 1015
Cement2.20 × 102kg2.94 × 1012[21]6.46 × 1014
Water1.10 × 100kg2.67 × 1012[16]2.95 × 1012
Gravel1.44 × 102kg1.27 × 1012[51]1.83 × 1014
Diesel fuel1.46 × 1010J1.36 × 105[16]1.99 × 1015
Total1.44 × 1018
Heating and Cooling Systems
Steel5.52 × 103kg2.1 × 1012[55]1.16 × 1016
Polypropylene1.25 × 103kg6.7 × 1012[51]8.34 × 1015
Aluminum4.34 × 103kg9.65 × 1011[45]4.19 × 1015
Glass wool4.34 × 103kg7.28 × 1012[58]3.16 × 1016
Brass4.34 × 103kg1.33 × 1013[46]5.77 × 1016
Stainless steel4.34 × 103kg5.25 × 1012[16]2.28 × 1016
Galvanized steel4.34 × 103kg3.53 × 1012[56]1.53 × 1016
Copper4.34 × 103kg1.52 × 1012[55]6.59 × 1015
Diesel fuel4.34 × 103J1.36 × 105[16]5.90 × 108
Total1.58 × 1017
Electricity Installations
Copper3.96 × 103kg1.52 × 1012[55]6.02 × 1015
Aluminum sheet5.94 × 101kg1.25 × 1012[59]7.42 × 1013
Galvanized steel4.94 × 101kg3.53 × 1012[56]1.74 × 1014
Steel7.71 × 103kg2.1 × 1012[55]1.62 × 1016
Rubber5.55 × 101kg5.48 × 1012[52]3.04 × 1014
Polyester7.40 × 101kg7.34 × 1012[53]5.43 × 1014
Iron3.01 × 103kg3.15 × 1012[45]9.48 × 1015
Ceramics3.20 × 101kg2.43 × 1012[57]7.77 × 1013
Plastic5.24 × 102kg4.37 × 1012[45]2.29 × 1015
Glass4.59 × 102kg1.07 × 1012[43]4.91 × 1014
Diesel fuel1.89 × 109J1.36 × 105[16]2.57 × 1014
Total3.59 × 1016
Telecommunications System Installations
Copper1.79 × 102kg1.52 × 1012[55]2.72 × 1014
PVC3.82 × 103kg7.49 × 1012[43]2.86 × 1016
Aluminum sheet8.56 × 101kg1.25 × 1012[59]1.07 × 1014
Plastic7.53 × 103kg4.37 × 1012[45]3.29 × 1016
Brass5.54 × 100kg1.33 × 1013[46]7.37 × 1013
Aluminum1.58 × 102kg9.65 × 1011[45]1.53 × 1014
Glass2.93 × 100kg1.07 × 1012[43]3.13 × 1012
Steel4.64 × 101kg2.1 × 1012[55]9.74 × 1013
Diesel fuel1.83 × 109J1.36 × 105[16]2.49 × 1014
Total6.25 × 1016
Elevator Systems
Steel2.05 × 103kg2.1 × 1012[43]4.31 × 1015
Rubber2.63 × 101kg5.48 × 1012[52]1.44 × 1014
Iron2.79 × 103kg3.15 × 1012[45]8.79 × 1015
glass1.63 × 10-1kg1.07 × 1012[43]1.75 × 1011
Diesel fuel2.01 × 109J1.36 × 105[16]2.74 × 1014
Total1.35 × 1016
Table 4. Emergy table of operation phase.
Table 4. Emergy table of operation phase.
ItemDataUnitUEVsUEVs Ref.Emergy (sej)
Solar4.67 × 1014J1[16]4.67 × 1014
Electricity9.52 × 1012J6.39 × 104Cal.6.08 × 1017
Heat5.30 × 1013J2.01 × 106[46]1.07 × 1020
Water6.33 × 108kg2.67 × 109[16]1.69 × 1018
Maintenance2.80 × 105m24.3 × 1013[43]1.20 × 1019
Total1.21 × 1020
Table 5. Emergy table of demolition phase.
Table 5. Emergy table of demolition phase.
ItemDataUnitUEVsUEVs Ref.Emergy (sej)
Recycling Part
Glass2.74 × 104kg2.21 × 1011[60]6.05 × 1015
Iron and steel1.76 × 106kg2.31 × 1011[52]4.06 × 1017
Plastic and PVC2.16 × 105kg2.22 × 1011[52]4.81 × 1016
Aluminum4.56 × 103kg2.21 × 1011[52]1.01 × 1015
Bricks3.93 × 106kg2.03 × 107[61]7.99 × 1013
Concrete1.09 × 107kg1.19 × 1012[62]1.29 × 1019
Diesel fuel6.58 × 1011J1.36 × 105[46]8.95 × 1016
Total1.35 × 1019
Landfill Process
Non-recycled materials3.04 × 106kg2.1 × 1011[61]6.39 × 1017
Diesel fuel1.46 × 1011kg1.36 × 105[61]1.99 × 1016
Total6.59 × 1017
Table 6. Emergy table of renovation phase.
Table 6. Emergy table of renovation phase.
ItemDataUnitUEVsUEVs Ref.Emergy (sej)
Renovation Scenario 1
Polystyrene5.54 × 103kg5.23 × 1012[45]2.90 × 1016
Cement1.21 × 104kg2.94 × 1012[21]3.57 × 1016
Water7.57 × 103kg2.67 × 109[16]2.02 × 1013
Diesel fuel2.14 × 109J1.36 × 105[16]2.91 × 1014
Total6.50 × 1016
Renovation Scenario 2
Glass2.28 × 104kg1.07 × 1012[60]2.44 × 1016
Aluminum1.76 × 103kg9.65 × 1011[52]1.70 × 1015
Diesel fuel2.14 × 109J1.36 × 105[16]2.91 × 1014
Total2.64 × 1016
Renovation Scenario 3
Glass8.32 × 103kg1.16 × 104[60]1.25 × 1016
Aluminum2.89 × 103kg4.05 × 103[52]3.90 × 1015
Copper2.51 × 103kg3.51 × 103[55]5.34 × 1015
Polyurethane1.01 × 103kg1.41 × 103[44]9.88 × 1015
Glass wool8.9 × 102kg1.25 × 103[58]9.07 × 1015
Diesel fuel4.41 × 1010J6.17 × 1010[16]8.40 × 1015
Total4.91 × 1016
Additional Resource and Service
Solar irradiation1.14 × 1012J1[16]1.14 × 1012
Electricity7.22 × 1010J6.39 × 104Cal.4.62 × 1015
Human labor3.36 × 102h1.36 × 1013Cal.4.57 × 1015
Employees transport1.90 × 105J1.36 × 105[16]2.59 × 1010
Total9.19 × 1015
Table 7. Emergy indicators analysis.
Table 7. Emergy indicators analysis.
NoteItemsIndexValues
1Renewable resource emergyR1.21 × 1020 sej
2Nonrenewable resource emergyN1.08 × 1022 sej
3Energy emergyE1.07 × 1020 sej
4External input emergyF1.22 × 1020 sej
5Labor and service emergyL1.30 × 1016 sej
6Total emergy usageU1.1 × 1022 sej
7Emergy inputI1.1 × 1022 sej
8Emergy intensityEp8.92 × 1019
9Emergy per RMBEe1.34 × 1014
10Emergy densityEd2.14 × 1018
11Renewability rateRe0.0113
12Nonrenewability rateNr0.982
13Nonrenewability rate of purchased resourceNp0.0112
14Purchased emergy dependence levelPe0.0109
15Emergy investment ratioEIR0.00109
16Environmental loading ratioELR89.256
17Emergy yield ratioEYR90.5164
18Emergy Sustainability IndicatorESI1.0141
Table 8. Sustainability indexes of renovation scenario.
Table 8. Sustainability indexes of renovation scenario.
No.ItemIndicatorsValue
Renovation scenario 1
1Environmental loading ratioELR-17.07
2Emergy yield ratioEYR-11.14
3Emergy Sustainability IndicatorESI-10.1414
Renovation scenario 2
1Environmental loading ratioELR-22.87
2Emergy yield ratioEYR-21.35
3Emergy Sustainability IndicatorESI-20.4692
Renovation scenario 3
1Environmental loading ratioELR-35.34
2Emergy yield ratioEYR-31.19
3Emergy Sustainability IndicatorESI-30.2222
Table 9. Comparative analysis of literature.
Table 9. Comparative analysis of literature.
AuthorBaselineUEVsLCA AngleEmergy AngleCountryYearRef.
Heather RothrockOld××USA2014[63]
Pulselli et al.Old××Italy2014[64]
Hwang et al.Old××USA2015[38]
Zhiwen et al.Old××China2015[22]
Hwang and WilliamOld××USA2015[65]
Eugene P. Law et al.Old××USA2017[34]
Hwang et al.New×USA2017[35]
Jae and WilliamNew××USA2017[36]
Thomas and PraveenNew××India2020[30]
Wenjing et al.None×China2021[28]
Suman et al.None××USA2021[66]
This paperNewChina2022~
Table 10. Ecological indicator changes between former and latter.
Table 10. Ecological indicator changes between former and latter.
ItemsIndex10% Reduction5% Increment
FormerLatterFormerLatter
Renewability rateRe0.01130.01220.01130.0105
Nonrenewability rateNr0.9820.88360.9821.0309
Nonrenewability rate of purchased resourceNp0.01120.01260.01120.0108
Purchased emergy dependence levelPe0.01090.01230.01090.0106
Emergy investment ratioEIR0.01090.01240.001090.0106
Environmental loading ratioELR89.25680.330689.25693.7190
Emergy yield ratioEYR90.516481.663990.516494.9426
Emergy Sustainability IndicatorESI1.01411.01661.01411.0131
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Chen, X.; Wang, H.; Zhang, J.; Zhang, H.; Asutosh, A.T.; Wu, G.; Wei, G.; Shi, Y.; Yang, M. Sustainability Study of a Residential Building near Subway Based on LCA-Emergy Method. Buildings 2022, 12, 679. https://0-doi-org.brum.beds.ac.uk/10.3390/buildings12050679

AMA Style

Chen X, Wang H, Zhang J, Zhang H, Asutosh AT, Wu G, Wei G, Shi Y, Yang M. Sustainability Study of a Residential Building near Subway Based on LCA-Emergy Method. Buildings. 2022; 12(5):679. https://0-doi-org.brum.beds.ac.uk/10.3390/buildings12050679

Chicago/Turabian Style

Chen, Xinnan, Hairuo Wang, Junxue Zhang, He Zhang, Ashish T. Asutosh, Guodong Wu, Guobin Wei, Yaling Shi, and Minghui Yang. 2022. "Sustainability Study of a Residential Building near Subway Based on LCA-Emergy Method" Buildings 12, no. 5: 679. https://0-doi-org.brum.beds.ac.uk/10.3390/buildings12050679

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