Feasibility Study on the “New Traditional” Model and Energy-Saving Strategy for Chinese–Korean Vernacular Living Under the Construction of Border Villages
Abstract
1. Introduction
- (1)
- Limited analysis of life-cycle costs and payback periods for integrated systems in low-income rural settings;
- (2)
- Insufficient attention to esthetic and material compatibility with traditional architectural forms;
- (3)
- A lack of empirical data on system-level energy performance under real-world rural operating conditions.
2. Analysis of Chinese–Korean Dwellings in Border Villages
2.1. Traditional Dwellings in Border Villages
2.2. The Current Situation of Research on Border Rural Dwellings
- (1)
- Excessive summer indoor temperatures: during daytime hours in summer, indoor temperatures reach 30–35 °C, with perceived temperatures exceeding 40 °C, rendering the environment unsuitable for comfortable habitation
- (2)
- Inconvenient domestic hot water supply: only a small proportion of households are equipped with storage-type electric water heaters (approximately 3300 W power rating). These devices consume 120 kWh of electricity monthly, costing 63 RMB—accounting for over 80% of total monthly electricity expenditures. Consequently, residents rarely utilize this system.
2.3. Definition of Chinese–Korean Folk Houses Under the “New Tradition”
3. The Renovation Strategy of Korean Houses Under the “New Tradition”
3.1. Selection of Typical Chinese–Korean Folk Houses
3.2. Renovation Strategy of Chinese–Korean Folk Houses
- (1)
- GSHP Performance: Utilizing stable underground temperatures, GSHP delivers heating and cooling with COP/EER values exceeding 4.5, outperforming coal boilers (COP ~ 1.2) and electric resistance systems (COP ~ 1.0). This reduces energy consumption by 60–70% and eliminates coal-related emissions.
- (2)
- BIPV Synergies: Beyond generating clean electricity, BIPV modules provide passive shading to reduce summer heat gain by 20–30%, while its modular design preserves courtyard layouts and roof esthetics.
- (3)
- System Resilience: Avoiding land-intensive infrastructure, the system aligns with ecological protection goals and maintains 25+ year operational lifespans under local tariff and subsidy conditions.
4. Application of Energy-Saving Strategies and Simulation Assessments
4.1. Case Selection, Model Building, and Simulation Settings
- (1)
- Model Construction: On-site measurements conducted in the countryside were used to calibrate the building’s relevant parameters via iterative optimization. Subsequently, the initial model was developed, adjacent surfaces were defined, and new thermal zones were created for spaces without designated thermal classifications (as shown in Figure 7);
- (2)
- File Export: The IDF file was exported for further analysis;
- (3)
- Parameter Setup: The model was imported into EnergyPlus 9.5 and saved, with key simulation parameters configured [15]. Convergence tolerance settings and the TARP radiation algorithm selection were based on technical guidelines and modeling practices aligned with ASHRAE Standard 90.2 for U.S. low-rise residential buildings (as detailed in Table 1, Table 2, Table 3 and Table 4);
- (4)
- Results: The optimal inclination angle of photovoltaic panels in Kaishan Tunzidong Village [16], Longjing City, Yanbian Prefecture (see Figure 8) is determined based on performance parameters such as photovoltaic system module efficiency and overall system loss, evaluated according to the Chinese national standard Performance Monitoring Guidelines for Photovoltaic Power Generation Systems (GB/T 34129-2017 [17]). Geoclimatic data for Kaishan Tunzidong Village, Longjing City, Yanbian Prefecture is derived from the typical meteorological year (TMY) dataset released by the National Renewable Energy Laboratory (NREL) in 2022. Changes in electricity consumption, carbon dioxide emissions, and human thermal comfort (PMV) before and after renovation are detailed in Table 5.
4.2. A Comprehensive Assessment of the “New Traditional” Dwellings
4.2.1. Construction and Weight Calculation of an Evaluation Index System for Korean Dwelling Renovation Based on AHP
- (1)
- Summary of benchmark layer results
| Scale | Number | Scale | Number |
|---|---|---|---|
| 1 | 5 | 1 | |
| 3 | 1/3 | ||
| 5 | 1/5 | ||
| 7 | 1/7 | ||
| 9 | 1/9 | ||
| 2, 4, 6, 8 | 5 | 2/1, 1/4, 1/6, 1/8 |
| Scale | Number | Scale | Number |
|---|---|---|---|
| 1 | 5 | 1 | |
| 3 | 1/3 | ||
| 5 | 1/5 | ||
| 7 | 1/7 | ||
| 9 | 1/9 | ||
| 2, 4, 6, 8 | 5 | 2/1, 1/4, 1/6, 1/8 | 1 |
| Scale | Number | Scale | Number |
|---|---|---|---|
| 1 | 8 | 1 | |
| 3 | 1/3 | ||
| 5 | 1/5 | ||
| 7 | 1/7 | ||
| 9 | 1/9 | ||
| 2, 4, 6, 8 | 2 | 2/1, 1/4, 1/6, 1/8 |
- (2)
- Judgment matrix and consistency test
| Technical Performance (B1) | Economic Viability (B2) | Appearance Preservation and Spatial Comfort (B3) | |
|---|---|---|---|
| technical performance (B1) | 1 | 1.38 | 1.33 |
| economic viability (B2) | 0.725 | 1 | 1 |
| appearance preservation and spatial comfort (B3) | 0.752 | 1 | 1 |
4.2.2. Scoring Methods and Quantitative Models
- (1)
- To achieve unified quantification of multiple indicators, the linear normalization mapping method is adopted. The actual values of indicators such as energy saving rate, system energy consumption ratio, payback period, initial investment cost, spatial comfort, and others are converted into scores on a 0–10 point scale. For positive indicators (the higher, the better) and negative indicators (the lower, the better), the following formulas are used, respectively:
- (2)
- Data source and parameter setting.
- Photovoltaic power generation system: installed capacity of 5 kW, annual power generation of about 6000 kWh, the power generation is given priority for self-consumption, surplus electricity is connected to the Internet, to achieve net zero power consumption of buildings;
- Heating/cooling system: the ground source heat pump system is adopted, and the heating performance coefficient (COP) is about 4.0, which significantly improves energy utilization efficiency;
- Thermal comfort evaluation: the PMV (Predicted Mean Vote) model was used for quantitative analysis, and the PMV = 1.45 (thermal perception was hot, poor comfort) before the modification, and the PMV = 0.038 after the modification (close to thermal neutrality, and the comfort was significantly improved);
- 1.
- Initial investment: ground source heat pump system (80,000 yuan) photovoltaic system (40,000 yuan), a total of 120,000 yuan;
- 2.
- Subsidy scenario assumption: considering the incentive policy of local governments for the application of renewable energy, assuming that the initial investment is subsidized by 50%, the actual user side investment is 60,000 yuan Electricity price parameters: the residential electricity price is 0.528 yuan/kWh of the first tier of electricity in Jilin Province, and the on-grid electricity price of surplus electricity is calculated at 0.30 yuan/kWh;
- 3.
- Annual energy saving income: including self-consumption savings (1091 kWh × 0.528 yuan/kWh ≈ 576 yuan) and surplus electricity grid income (about 5000 kWh × 0.30 yuan/kWh = 1500 yuan), totaling about 2076 yuan;
- 4.
- Static payback period: Under the condition of actual investment of 60,000 yuan after subsidy, the payback period is: 60,000 ÷ 2076 ≈ 28.9.
- (3)
- The scoring results of energy saving rate, system energy consumption ratio, payback period, cost, comfort and other indicators before and after renovation.
4.2.3. Based on the AHP Method and Expert Scoring Method, the Comprehensive Evaluation Score of Korean Houses Before and After Renovation Was Obtained
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A. Expert Questionnaire
| Evaluation Index System A: Target Level for Korean House Renovation | |||||
| technical performance (B1) | economic viability (B2) | appearance preservation and spatial comfort (B3) | |||
| energy saving rate (C1) | system energy consumption ratio (C2) | payback period (C3) | initial investment cost (C4) | traditional appearance preservation (C5) | spatial comfort (C6) |
| Scale | Definitions and Descriptions | Scale | Definitions and Descriptions |
| 1 | B1 is just as important as B2 | 1 | B2 is just as important as B1 |
| 3 | B1 is slightly more important than B2 | 1/3 | B2 is slightly more important than B1 |
| 5 | B1 is significantly more important than B2 | 1/5 | B2 is significantly more important than B1 |
| 7 | B1 is more important than B2 | 1/7 | B2 is more important than B1 |
| 9 | B1 is definitely more important than B2 | 1/9 | B2 is definitely more important than B1 |
| 2, 4, 6 | The middle value between the two scales above | 1/2, 1/4, 1/6 | The middle value between the two scales above |
| Scale | Definitions and Descriptions | Scale | Definitions and Descriptions |
| 1 | B1 is just as important as B3 | 1 | B3 is just as important as B1 |
| 3 | B1 is slightly more important than B3 | 1/3 | B3 is slightly more important than B1 |
| 5 | B1 is significantly more important than B3 | 1/5 | B3 is significantly more important than B1 |
| 7 | B1 is more important than B3 | 1/7 | B3 is more important than B1 |
| 9 | B1 is definitely more important than B3 | 1/9 | B3 is definitely more important than B1 |
| 2, 4, 6 | The middle value between the two scales above | 1/2, 1/4, 1/6 | The middle value between the two scales above |
| Scale | Definitions and Descriptions | Scale | Definitions and Descriptions |
| 1 | B2 is just as important as B3 | 1 | B3 is just as important as B2 |
| 3 | B2 is slightly more important than B3 | 1/3 | B3 is slightly more important than B2 |
| 5 | B2 is significantly more important than B3 | 1/5 | B3 is significantly more important than B2 |
| 7 | B2 is more important than B3 | 1/7 | B3 is more important than B2 |
| 9 | B2 is definitely more important than B3 | 1/9 | B3 is definitely more important than B2 |
| 2, 4, 6 | The middle value between the two scales above | 1/2, 1/4, 1/6 | The middle value between the two scales above |
| Scale | Definitions and Descriptions | Scale | Definitions and Descriptions |
| 1 | C1 is just as important as C2 | 1 | C2 is just as important as C1 |
| 3 | C1 is slightly more important than C2 | 1/3 | C2 is slightly more important than C1 |
| 5 | C1 is significantly more important than C2 | 1/5 | C2 is significantly more important than C1 |
| 7 | C1 is more important than C2 | 1/7 | C2 is more important than C1 |
| 9 | C1 is definitely more important than C2 | 1/9 | C2 is definitely more important than C1 |
| 2, 4, 6 | The middle value between the two scales above | 1/2, 1/4, 1/6 | The middle value between the two scales above |
| Scale | Definitions and Descriptions | Scale | Definitions and Descriptions |
| 1 | C3 is just as important as C4 | 1 | C4 is just as important as C3 |
| 3 | C3 is slightly more important than C4 | 1/3 | C4 is slightly more important than C3 |
| 5 | C3 is significantly more important than C4 | 1/5 | C4 is significantly more important than C3 |
| 7 | C3 is more important than C4 | 1/7 | C4 is more important than C3 |
| 9 | C3 is definitely more important than C4 | 1/9 | C4 is definitely more important than C3 |
| 2, 4, 6 | The middle value between the two scales above | 1/2, 1/4, 1/6 | The middle value between the two scales above |
| Scale | Definitions and Descriptions | Scale | Definitions and Descriptions |
| 1 | C5 is just as important as C6 | 1 | C6 is just as important as C5 |
| 3 | C5 is slightly more important than C6 | 1/3 | C6 is slightly more important than C5 |
| 5 | C5 is significantly more important than C6 | 1/5 | C6 is significantly more important than C5 |
| 7 | C5 is more important than C6 | 1/7 | C6 is more important than C5 |
| 9 | C5 is definitely more important than C6 | 1/9 | C6 is definitely more important than C5 |
| 2, 4, 6 | The middle value between the two scales above | 1/2, 1/4, 1/6 | The middle value between the two scales above |
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| Equipment Water Heater | Power (W) | Month of Use (Month) | Daily Usage Duration | Annual Electricity Consumption (kWh) |
|---|---|---|---|---|
| Ground source heat pump (heating) | 875 | 11–12 1–3 (month) | 10 h | 1312.5 |
| Ground source heat pump (refrigeration) | 1225 | 7–9 (month) | 10 h | 1102.5 |
| Air energy water heaters | 750 | 1–12 (month) | 30 min | 136.875 |
| Structure Name | Constructing Practices |
|---|---|
| Facades | 20 mm cement mortar 100 mm extruded polystyrene plastic 20 mm cement mortar 200 mm aerated bricks 200 mm cement mortar |
| Roof | 50 mm rebar mesh 100 mm cement mortar |
| Qall | 100 mm cement mortar 30 mm wooden flooring |
| Window 5 12A 5 Low-E | 5 12A 5 Low-E glass |
| Security doors | 5 mm iron sheet |
| Internal Surface Reflectance Ratio | Thermal Coefficient of Solar Energy | Visible Light Transmission Ratio | Heat Transfer Coefficient | |
|---|---|---|---|---|
| Cement mortar | 0.32 | 0 | 2.0 W/(m2·K) | |
| Extruded polystyrene plastic | 0.7 | 0 | 0.04 W/(m2·K) | |
| Aerated bricks | 0.6 | 0 | 0.16 W/(m2·K) | |
| Rebar mesh | 0.2 | 0 | 50 W/(m2·K) | |
| Wooden flooring | 0.2 | 0 | 0.20 W/(m2·K) | |
| Window 5 12A 5 Low-E | 0.2 | 0.3 | 0.6 | 1.9 W/(m2·K) |
| Stainless steel security door | 0.2 | 0 | 3.0 W/(m2·K) |
| Building’s File Settings | ||
|---|---|---|
| Field | Units | Obj1 |
| Name | Warehouse | |
| North Axis | deg | 0 |
| Terrain | Urban | |
| Loads Convergence Tolerance Value | W | 0.04 |
| Temperature Convergence Tolerance Value | deltaC | 0.4 |
| Solar Distribution | Full Exterior | |
| Maximum Number of Warmup Days | 15 | |
| Minimum Number of Warmup Days | 6 | |
| Version of the file settings | ||
| Field | Units | Obj1 |
| Version Identifier | 9.6 | |
| Surface Convection Algorithm: File settings for Inside | ||
| Field | Units | Obj1 |
| Algorithm | TARP | |
| Site: Location file settings | ||
| Field | Units | Obj1 |
| Name | CHN Jilin Yanji Longjing | |
| Latitude | 42.88 | |
| Longitude | 129.47 | |
| Time Zone | 8 | |
| Elevation | 176.8 | |
| Types of Renovations | Electricity Consumption (kWh) | CO2 Emissions (tCO2) | PMV (Predicted Mean Vote) |
|---|---|---|---|
| Basic type of house | −1091 kWh | −0.6 tCO2 | 1.45 |
| “new traditional” type of house | +2551.875 kWh | +1.403 tCO2 | 0.038 |
| Evaluation Index System A: Target Level for Korean House Renovation | |||||
|---|---|---|---|---|---|
| technical performance (B1) | economic viability (B2) | appearance preservation and spatial comfort (B3) | |||
| energy saving rate (C1) | system energy consumption ratio (C2) | payback period (C3) | initial investment cost (C4) | traditional appearance preservation (C5) | spatial comfort (C6) |
| Target Layer Proportion | Benchmark Layer Weights | Indicator Layer Proportion |
|---|---|---|
| Target Level for Korean House Renovation A = 1 | technical performance (B1) = 0.4 | energy saving rate (C1) = 0.6, system energy consumption ratio (C2) = 0.4 |
| economic viability (B2) = 0.3 | payback period (C3) = 0.5, initial investment cost (C4) = 0.5 | |
| appearance preservation and spatial comfort (B3) = 0.3 | traditional appearance preservation (C5) = 0.5, spatial comfort (C6) = 0.5 |
| Indicator Layer C | Ideal Value (10 Points) | Minimum Value (10 Points) | Data Source/Basis |
|---|---|---|---|
| energy saving rate (C1) | ≥80% | 0% | “Energy Saving Design Standard for Residential Buildings in Severe Cold and Cold Areas” JGJ 26-2018 [24] |
| system energy consumption ratio (C2) | ≤0.3 | 1.0 | The theoretical energy efficiency ratio of ground source heat pump system is COP ≥ 3.3 |
| payback period (C3) | ≤10 | ≥50 | Economic evaluation practice of building energy conservation projects |
| initial investment cost (C4) | ≤10 | ≥20 | Research on the cost of rural housing renovation in Yanbian area |
| spatial comfort (C6) | ≤0.5 | ≥1.5 | ISO 7730 thermal comfort standard |
| Indicator Layer C | Before the Reform, the Korean Ethnic Group Scored | After the Transformation, the Korean Ethnic Group Scored |
|---|---|---|
| energy saving rate (C1) | 0.0 | 10.0 |
| system energy consumption ratio (C2) | 5.7 | 10.0 |
| payback period (C3) | 0.0 | 3.5 |
| initial investment cost (C4) | 10.0 | 10.0 |
| spatial comfort (C6) | 0.3 | 9.8 |
| Grade | Number | Grade | Number |
|---|---|---|---|
| 1 | 6 | ||
| 2 | 7 | ||
| 3 | 8 | ||
| 4 | 9 | 5 | |
| 5 | 10 |
| Grade | Number | Grade | Number |
|---|---|---|---|
| 1 | 6 | 5 | |
| 2 | 7 | ||
| 3 | 8 | ||
| 4 | 9 | ||
| 5 | 10 |
| Grade | Number | Grade | Number |
|---|---|---|---|
| 1 | 6 | ||
| 2 | 7 | ||
| 3 | 8 | ||
| 4 | 9 | ||
| 5 | 10 | 5 |
| Grade | Number | Grade | Number |
|---|---|---|---|
| 1 | 6 | ||
| 2 | 7 | 5 | |
| 3 | 8 | ||
| 4 | 9 | ||
| 5 | 10 |
| Types of Dwellings | Expert Weight | Average Score From Experts | Resident Weight | Average Score of Residents | Composite Score (Total Score) |
|---|---|---|---|---|---|
| Before the reform, the Korean ethnic group scored | 0.6 | 4.5 | 0.4 | 5 | 4.7 |
| After the transformation, the Korean ethnic group scored | 0.6 | 3 | 0.4 | 3.5 | 3.2 |
| Indicator Layer (A) | Weight | Before the Reform, the Korean Ethnic Group Scored | After the Transformation, the Korean Ethnic Group Scored |
|---|---|---|---|
| energy saving rate (C1) | 0.6 | 0 | 6 |
| system energy consumption ratio (C2) | 0.4 | 2.28 | 4 |
| payback period (C3) | 0.5 | 0 | 1.75 |
| initial investment cost (C4) | 0.5 | 5 | 5 |
| traditional appearance preservation (C5) | 0.5 | 2.35 | 1.8 |
| spatial comfort (6) | 0.5 | 0.15 | 4.49 |
| Benchmark Layers B | Weight | Before the Reform, the Korean Ethnic Group Scored | After the Transformation, the Korean Ethnic Group Scored |
|---|---|---|---|
| technical performance (B1) | 0.4 | 0.912 | 4 |
| economic viability (B2) | 0.3 | 1.5 | 2.025 |
| appearance preservation and spatial comfort (B3) | 0.3 | 0.75 | 1.887 |
| 3.162 | 7.912 |
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Share and Cite
Chu, W.; Xiang, J.; Jin, C. Feasibility Study on the “New Traditional” Model and Energy-Saving Strategy for Chinese–Korean Vernacular Living Under the Construction of Border Villages. Buildings 2025, 15, 3838. https://doi.org/10.3390/buildings15213838
Chu W, Xiang J, Jin C. Feasibility Study on the “New Traditional” Model and Energy-Saving Strategy for Chinese–Korean Vernacular Living Under the Construction of Border Villages. Buildings. 2025; 15(21):3838. https://doi.org/10.3390/buildings15213838
Chicago/Turabian StyleChu, Weiming, Junjie Xiang, and Changjie Jin. 2025. "Feasibility Study on the “New Traditional” Model and Energy-Saving Strategy for Chinese–Korean Vernacular Living Under the Construction of Border Villages" Buildings 15, no. 21: 3838. https://doi.org/10.3390/buildings15213838
APA StyleChu, W., Xiang, J., & Jin, C. (2025). Feasibility Study on the “New Traditional” Model and Energy-Saving Strategy for Chinese–Korean Vernacular Living Under the Construction of Border Villages. Buildings, 15(21), 3838. https://doi.org/10.3390/buildings15213838
