Energy Consumption Analysis of a New Rural Green Building

2012 ◽  
Vol 608-609 ◽  
pp. 1716-1723 ◽  
Author(s):  
Jin Ping Li ◽  
Rong Dan Diao ◽  
Si Cong Ma ◽  
Xiao Chao Leng ◽  
Chun Long Wang

In order to meet farmers’ energy demands of gas, domestic hot water and winter heating with renewable energy in rural areas, according to farmers’ living habits in winter, a 30m2 insulated rural green building made of brick and concrete, was developed to integrate with thermostatic digester heated by solar energy and low-temperature radiant bed. Energy expenditure and thermal economy of the green building were studied at different winter ambient temperature subsequently. The results show that the consumer’s energy demands of gas, hot water and winter heating can be met in the green building even in winter. When the outdoor temperature is -20°C, the indoor’s is higher than 15°C. Compared with traditional rural buildings made of brick and concrete, the new one saves 2.8 tons of standard coal and RMB¥3275 every year and the payback period of investment of the enforced cost is 3.9 years.

2021 ◽  
Author(s):  
Amir Fereidouni Kondri

This report presents the methodology for determining least cost energy efficient upgrade solutions in new residential housing using brute force sequential search (BFSS) method for integration into the reference house to reduce energy consumption while minimizing the net present value (NPV) of life cycle costs. The results showed that, based on the life cycle cost analysis of 30 years, the optimal upgrades resulted in the average of 19.25% (case 1), 31% (case 2a), and 21% (case 2b) reduction in annual energy consumption. Economic conditions affect the sequencing of the upgrades. In this respect the preferred upgrades to be performed in order are; domestic hot water heating, above grade wall insulation, cooling systems, ceiling insulation, floor insulation, heat recovery ventilator, basement slab insulation and below grade wall insulation. When the gas commodity pricing becomes high, the more energy efficient upgrades for domestic hot water (DHW) get selected at a cost premium.


2019 ◽  
Vol 111 ◽  
pp. 04013
Author(s):  
Hye-Sun Jin ◽  
Han-Young Lim ◽  
You-Jeong Kim ◽  
Soo-Jin Lee ◽  
Sung-Im Kim ◽  
...  

To achieve the goal of reducing greenhouses gases, many countries have recognized the importance of energy conservation in the building sector, and such countries are considerably strengthening their building energy conservation policies by reinforcing design standards, encouraging remodeling, and requiring zero-energy construction. In order to effectively strengthen these policies, it is necessary to provide information concerning energy consumption in the building sector to ensure the technical and economic feasibility of policies in the marketplace, and to allow building users and policy makers to easily access and understand energy consumption characteristics. It is important to provide information that allows people to effectively understand the state of energy consumption by end-use (space heating, space cooling, domestic hot water, etc.) as part of the creation of a concrete plan for energy reduction that incorporates various service systems and is familiar to people. This is because providing such information plays an important role in establishing concrete policies and encouraging voluntary energy performance improvements by building occupants. South Korea operates the Korea Energy Statistics Information System (KESIS) and the information provided by this type of information system consists mainly of energy consumption by energy source (electricity, gas, etc.), and such systems remain inadequate for providing effective information on energy consumption and energy use intensity (EUI) by end-use (space heating, space cooling, domestic hot water, etc.) as part of the creation of a concrete plan for energy conservation. In order to accurately provide energy consumption information by end-use rather than limit the information to mainly consumption corresponding to energy sources, in this study, measurement systems were installed in 2014 ~ 2016 based on the overall sampling designs of previous studies for apartment units, classifications, measurement and data gathering methods for energy consumption by end-use. The annual statistical values for EUI by end-use were collected from the measurement data for 71 sample apartment units from May 2017 to April 2018. This data was calculated and analyzed using stratification variable levels for completion year, supplied area, and the heat source type.


2013 ◽  
Vol 771 ◽  
pp. 155-158
Author(s):  
Zu Shan Hu ◽  
Jian Yao

This paper calculates the energy and environmental performance of a project with solar hot water system using solar hot water system with vacuum tube materials. The results show that solar hot water application in buildings not only saves energy consumption but also reduces carbon emissions, and the dynamic payback period is about 12 years. Thus solar hot water system should be widely used in buildings in China.


2017 ◽  
Vol 24 (1) ◽  
pp. 99-116
Author(s):  
Paweł Malinowski ◽  
Piotr Ziembicki

Abstract This article presents a statistical methodology for selecting representative buildings for experimentally evaluating the performance of HVAC systems, especially in terms of energy consumption. The proposed approach is based on the k-means method. The algorithm for this method is conceptually simple, allowing it to be easily implemented. The method can be applied to large quantities of data with unknown distributions. The method was tested using numerical experiments to determine the hourly, daily, and yearly heat values and the domestic hot water demands of residential buildings in Poland. Due to its simplicity, the proposed approach is very promising for use in engineering applications and is applicable to testing the performance of many HVAC systems.


2021 ◽  
Vol 252 ◽  
pp. 03027
Author(s):  
Yuli Wu ◽  
Rui Li

This paper analyses the factors affecting the heating consumption of a heating substation. The input parameters of neural network prediction model are analysed and selected. The average absolute error, average absolute percentage error, and mean square error are used to evaluate the effect of the prediction model. The results show that when the model input parameters are the maximum outdoor temperature, the average outdoor temperature, the average temperature difference between the primary supply and return of domestic hot water, the heating load in the previous three days, the heating load in the previous two days, the heating load in the previous day and when the model input parameters are the maximum outdoor temperature, the minimum outdoor temperature, the average outdoor temperature, the average temperature difference between the primary supply and return of domestic hot water, the heating load of the previous three days, the heating load of the previous two days, the heating load of the previous day, the effects are better.


2021 ◽  
Author(s):  
Afarin Amirirad

Considering the large energy consumption of conventional water heaters in residential buildings, the performance of a new type of water heater has been characterized through conducting experiments and numerical modelling. The specific water heater investigated in this work benefits from heat absorption from the indoor air, denoted as the air source heat pump water heater (ASHPWH), and is located in the Archetype Sustainable Twin House B in Toronto. The experiments have been conducted under three different indoor conditions associated with temperature and humidity. The coefficient of performance (COP), which quantifies the ratio of heating capacity to the consumed power of ASHPWH, ranges between 1.5 and 5, depending on the indoor dry bulb and water inlet temperatures. A TRNSYS model of ASHPWH has been constructed based on the obtained experimental results and has subsequently been integrated with a TRNSYS model of the Archetype Sustainable House (ASH). The numerical results were verified with the experimental data. The model results suggests that after employing ASHPWH, the domestic hot water energy consumption reduces by 60.3% and 53.2% compared to the electric water heater in summer and winter respectively. Due to the energy absorption of ASHPWH from the indoor environment, the heating load of the ASH house increases while its cooling load decreases. Furthermore, the annual electricity consumption of the ASH house due to the required heating and cooling as well as the domestic hot water demand is reduced by 21.3%. Finally, as a consequence of employing ASHPWH, the energy cost and GHG emission were reduced respectively by 22% and 21.7%. By investigating the system in four other Canadian cities, it appears that Vancouver and Edmonton would have the maximum and minimum energy savings respectively.


2021 ◽  
Author(s):  
Afarin Amirirad

Considering the large energy consumption of conventional water heaters in residential buildings, the performance of a new type of water heater has been characterized through conducting experiments and numerical modelling. The specific water heater investigated in this work benefits from heat absorption from the indoor air, denoted as the air source heat pump water heater (ASHPWH), and is located in the Archetype Sustainable Twin House B in Toronto. The experiments have been conducted under three different indoor conditions associated with temperature and humidity. The coefficient of performance (COP), which quantifies the ratio of heating capacity to the consumed power of ASHPWH, ranges between 1.5 and 5, depending on the indoor dry bulb and water inlet temperatures. A TRNSYS model of ASHPWH has been constructed based on the obtained experimental results and has subsequently been integrated with a TRNSYS model of the Archetype Sustainable House (ASH). The numerical results were verified with the experimental data. The model results suggests that after employing ASHPWH, the domestic hot water energy consumption reduces by 60.3% and 53.2% compared to the electric water heater in summer and winter respectively. Due to the energy absorption of ASHPWH from the indoor environment, the heating load of the ASH house increases while its cooling load decreases. Furthermore, the annual electricity consumption of the ASH house due to the required heating and cooling as well as the domestic hot water demand is reduced by 21.3%. Finally, as a consequence of employing ASHPWH, the energy cost and GHG emission were reduced respectively by 22% and 21.7%. By investigating the system in four other Canadian cities, it appears that Vancouver and Edmonton would have the maximum and minimum energy savings respectively.


2019 ◽  
Vol 23 (5 Part B) ◽  
pp. 2919-2927
Author(s):  
Djura Oros ◽  
Velimir Congradac ◽  
Veran Vasic ◽  
Filip Kulic

The Urgent Care Center of the Clinical Center of Vojvodina in city of Novi Sad, Republic od Serbia, as a specific medical facility with very demanding conditions of work and functioning, has an extensive and constant energy demands. The building is new, set into operation in 2010. The state-of-the-art concept and the equipment installed create conditions for using advanced solutions in the framework of supervisory and control systems, increasing energy efficiency and reducing operating costs in the Urgent Center. The aim of this paper is the assessment of additional possibilities for increasing energy efficiency in the building using a number of control techniques available today. According to a source of energy, the most utilized is the electric power, which is consumed for air conditioning, compressed air, and lighting. Thermal energy is used for space heating in winter and the preparation of hot water. The first step in increasing energy efficiency was the continuous monitoring and recording of consumption. The next step was the analysis of the energy consumption and the discovery of critical areas of consumption. The final step was related to the plans and algorithms for the energy reduction. To this goal, the energy consumption in the period March 2014-February 2016 was measured and recorded. According to that measuring and data analysis, an expert system based on the methods of computational intelligence that combines all the developed actions and algorithms for increasing energy efficiency in one unit was implemented.


2019 ◽  
Vol 116 ◽  
pp. 00022
Author(s):  
Michał Fijewski ◽  
Iwona Polarczyk ◽  
Joanna Paduchowska

The operation of the circulation installation has a significant impact on the energy efficiency of the building and it contributes to its reduction. The article refers to the actual measurement data obtained from the measurements of the domestic hot water (DHW) preparation system in a multi-family residential building in Wroclaw. On their basis, various possibilities of controlling the operation of the circulation installation without reducing the comfort of DHW operation system were presented and simulated. The results are illustrated in the form of measurable savings in energy consumption and related costs.


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