scholarly journals Methodological Approach for the Development of a Simplified Residential Building Energy Estimation in Temperate Climate

2019 ◽  
Vol 11 (15) ◽  
pp. 4040 ◽  
Author(s):  
Gabriela Reus-Netto ◽  
Pilar Mercader-Moyano ◽  
Jorge D. Czajkowski
Keyword(s):  
Energy Efficiency ◽  
Latin America ◽  
Energy Consumption ◽  
Energy Demand ◽  
High Reliability ◽  
Methodological Approach ◽  
Building Energy ◽  
Climatic Conditions ◽  
Temperate Climate ◽  
Improve Energy Efficiency

Energy ratings and minimum requirements for thermal envelopes and heating and air conditioning systems emerged as tools to minimize energy consumption and greenhouse gas emissions, improve energy efficiency and promote greater transparency with regard to energy use in buildings. In Latin America, not all countries have building energy efficiency regulations, many of them are voluntary and more than 80% of the existing initiatives are simplified methods and are centered in energy demand analysis and the compliance of admissible values for different indicators. However, the application of these tools, even when simplified, is reduced. The main objective is the development of a simplified calculation method for the estimation of the energy consumption of multifamily housing buildings. To do this, an energy model was created based on the real use and occupation of a reference building, its thermal envelope and its thermal system’s performance. This model was simulated for 42 locations, characterized by their climatic conditions, whilst also considering the thermal transmittance fulfilment. The correlation between energy consumption and the climatic conditions is the base of the proposed method. The input data are seven climatic characteristics. Due to the sociocultural context of Latin America, the proposed method is estimated to have more possible acceptance and applications than other more complex methods, increasing the rate of buildings with an energy assessment. The results have demonstrated a high reliability in the prediction of the statistical models created, as the determination coefficient (R2) is nearly 1 for cooling and heating consumption.

scholarly journals Application of Rough Set Theory (RST) to Forecast Energy Consumption in Buildings Undergoing Thermal Modernization

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1309 ◽  
Author(s):  
Tomasz Szul ◽  
Stanisław Kokoszka
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Set Theory ◽  
Rough Set ◽  
Energy Demand ◽  
Rough Set Theory ◽  
Residential Buildings ◽  
Simple Procedure ◽  
Energy Performance ◽  
Improve Energy Efficiency

In many regions, the heat used for space heating is a basic item in the energy balance of a building and significantly affects its operating costs. The accuracy of the assessment of heat consumption in an existing building and the determination of the main components of heat loss depends to a large extent on whether the energy efficiency improvement targets set in the thermal upgrading project are achieved. A frequent problem in the case of energy calculations is the lack of complete architectural and construction documentation of the analyzed objects. Therefore, there is a need to search for methods that will be suitable for a quick technical analysis of measures taken to improve energy efficiency in existing buildings. These methods should have satisfactory results in predicting energy consumption where the input is limited, inaccurate, or uncertain. Therefore, the aim of this work was to test the usefulness of a model based on Rough Set Theory (RST) for estimating the thermal energy consumption of buildings undergoing an energy renovation. The research was carried out on a group of 109 thermally improved residential buildings, for which energy performance was based on actual energy consumption before and after thermal modernization. Specific sets of important variables characterizing the examined buildings were distinguished. The groups of variables were used to estimate energy consumption in such a way as to obtain a compromise between the effort of obtaining them and the quality of the forecast. This has allowed the construction of a prediction model that allows the use of a fast, relatively simple procedure to estimate the final energy demand rate for heating buildings.

scholarly journals ANALYSIS OF RESULTS OF MEASURES PERFORMED TO INCREASE ENERGY EFFICIENCY IN VASIL KARAGIOZOV HIGH SCHOOL OF YAMBOL, BULGARIA

2018 ◽  
Vol 6 (4) ◽  
pp. 306-310 ◽  
Author(s):  
Ivan Binev
Keyword(s):  
High School ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Use ◽  
Energy Savings ◽  
Climatic Conditions ◽  
Improve Energy Efficiency ◽  
Before And After ◽  
The Impact

The report analyzes the results of the implemented measures to improve energy efficiency in Vasil Karagiozov High school of Yambol, Bulgaria. Energy savings are determined by measuring and/or calculating energy consumption with previously adopted baseline levels, implementing a measure or program to improve energy efficiency by providing normalized corrections corresponding to the impact of specific climatic conditions on energy use. A reference heating energy consumption of 38.62 kWh/m2 was determined after the renovation of the building. Comparing the reference energy costs for heating before and after the implementation of the energy saving measures show a real decrease of the energy consumption for heating by 53.44%. Compared to the reference energy consumption for heating before and after the energy saving measures show an actual reduction of energy consumption for heating by 47.86%.

scholarly journals Feasibility Study on Energy Audit and Data Driven Analysis Procedure for Building Energy Efficiency: Bench-Marking in Korean Hospital Buildings

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 3006 ◽  
Author(s):  
Hwang ◽  
Cho ◽  
Moon
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Flow ◽  
Energy Demand ◽  
Building Energy ◽  
Energy Performance ◽  
Public Hospitals ◽  
Data Driven ◽  
Building Energy Efficiency ◽  
Energy Audit

Growths in population, increasing demand for health care services and comfort levels, together with patients on the rise in time spent inside hospitals, assure the upward trend that energy demand will continue in the future. Since the hospital buildings operate 24 hours, 365 days a year for the treatment and restoration of patients, they are approximately 2–3 times more energy-intensive than normal buildings. For this reason, energy efficiency in hospitals is one of the prime objectives for energy policy at regional, national and international levels. This study aims to find how meaningful energy performance, reflecting good energy management and energy conservation measures (ECMs), can be operated for hospital buildings, a category encompassing complex buildings with different systems and large gaps between them. Energy audit allows us to obtain knowledge from the healthcare facility, in order to define and tune data driven analysis rules. The use of benchmarking in the energy audit of healthcare facilities enables immediate comparison between hospitals. Data driven energy analysis also allows ascertaining their expected energy consumption and estimating the possible savings margin by using the building energy flow chart. In the 2015–2017 periods, bench-marking of four public hospitals in Seoul were audited for the energy consumption related to weather conditions, total area, bed numbers, employee numbers, and analyzed for building energy flow by zones, energy sources, systems and equipment. This is a practice-based learning in a hospital project. The results reveal that the average annual energy consumption of a hospital under normal conditions, and energy efficiency factors are divided into energy baselines, energy consumption goals for energy saving and energy usage trends for setting ECMs, respectively. The indicator dependent on the area of inpatients (number of beds) proved to be the most suitable as a reference to quantify the energy consumption of a hospital.

scholarly journals A Hybrid Simulation Model to Predict the Cooling Energy Consumption for Residential Housing in Hong Kong

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4850
Author(s):  
Kwok Wai Mui ◽  
Ling Tim Wong ◽  
Manoj Kumar Satheesan ◽  
Anjana Balachandran
Keyword(s):  
Energy Efficiency ◽  
Hong Kong ◽  
Energy Consumption ◽  
Energy Demand ◽  
Building Materials ◽  
Energy Savings ◽  
Hybrid Simulation ◽  
Residential Building ◽  
Building Energy ◽  
Building Energy Efficiency

In Hong Kong, buildings consume 90% of the electricity generated and over 60% of the city’s carbon emissions are attributable to generating power for buildings. In 2018, Hong Kong residential sector consumed 41,965 TJ (26%) of total electricity generated, with private housing accounting for 52% and public housing taking in 26%, making them the two major contributors of greenhouse gas emissions. Furthermore, air conditioning was the major source consuming 38% of the electricity generated for the residential building segment. Strategizing building energy efficiency measures to reduce the cooling energy consumption of the residential building sector can thus have far-reaching benefits. This study proposes a hybrid simulation strategy that integrates artificial intelligence techniques with a building energy simulation tool (EnergyPlus™) to predict the annual cooling energy consumption of residential buildings in Hong Kong. The proposed method predicts long-term thermal energy demand (annual cooling energy consumption) based on short-term (hourly) simulated data. The hybrid simulation model can analyze the impacts of building materials, construction solutions, and indoor–outdoor temperature variations on the cooling energy consumed in apartments. The results indicate that using low thermal conductivity building materials for windows and external walls can reduce the annual cooling energy consumption by 8.19%, and decreasing the window-to-wall ratio from 80% to 40% can give annual cooling energy savings of up to 18%. Moreover, significant net annual cooling energy savings of 13.65% can be achieved by changing the indoor set-point temperature from 24 °C to 26 °C. The proposed model will serve as a reference for building energy efficiency practitioners to identify key relationships between building physical characteristics and operational strategies to minimize cooling energy demand at a minimal time in comparison to traditional energy estimation methods.

DMC Based MPC Control of Refrigeration System

2011 ◽  
Vol 130-134 ◽  
pp. 539-542
Author(s):  
Wen Peng Zhai ◽  
Ai Guo Wu ◽  
Yu Wen You
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Control Method ◽  
Building Energy ◽  
Vapor Compression ◽  
Refrigeration System ◽  
Part Load ◽  
Improve Energy Efficiency ◽  
Vapor Compression System ◽  
Mimo Model

The methods and theories about reducing energy consumption of buildings are some of the most popular topics for green buildings research recently. Vapor compression chiller, the largest proportion of building energy consumption, as the design and running characteristics, work at part load for most of the time. To improve the energy efficiency at part load, this paper details some efforts to develop a linear MIMO model of a vapor compression system suitable for MPC control method. Experiments show that the controller can simultaneously achieve satisfactory transient response in the evaporating temperature and superheat, and improve energy efficiency at steady state.

scholarly journals Creating Statistics for China’s Building Energy Consumption Using an Adapted Energy Balance Sheet

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4293 ◽  
Author(s):  
Mingshun Zhang ◽  
Xuan Ge ◽  
Ya Zhao ◽  
Chun Xia-Bauer
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Balance ◽  
Energy Demand ◽  
Balance Sheet ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Statistical System ◽  
Building Energy Consumption ◽  
Close Link

China’s regular energy statistics does not include the building sector, and data on building energy demand is included in other types of energy consumption in the Energy Balance Sheet (EBS). Therefore data on building energy demand is not collected based on statistics, but rather calculated or estimated by various approaches in China. This study aims at developing and testing China’s building energy statistics by applying an adapted EBS. The advantage of the adapted EBS is that statistical data is from the regular statistical system and no additional statistical efforts are needed. The research result shows that the adapted EBS can be included in China regular energy statistical system and can be standardized in a transparent way. Testing of the adapted EBS shows that China’s building energy demand has shown an annual increase of 7.6% since 2001, and a lower contribution to the total energy demand as compared to the developed world. There is also a close link to lifestyle and living standard while industrial energy demand is mainly driven by economy and decoupling of building energy demand with increasing of building floor area, this is due to a considerable improvement of building energy efficiency. The adapted EBS creates a method for China conducting statistics of building energy consumption at the sector level in a uniform way and serves as the basis for any sound building energy efficiency policy decisions.

High Performance Buildings: The Impact of Building Orientation on HVAC System Loads

2017 ◽  
Author(s):  
Rushang B. Shah ◽  
Navid Goudarzi
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Demand ◽  
High Performance ◽  
Cost Effective ◽  
Building Energy ◽  
Hvac System ◽  
Building Orientation

Energy demand growth and depletion of conventional energy resources in recent years have led to exploring alternative energy resources and further concentration on improving energy efficiency of segments with higher energy consumption. Building energy demand is among the main areas of concern with a 40% average of total energy consumption in the US energy market. Within building energy demand approximately, the Heating, Ventilation and Air Conditioning (HVAC) system, lighting system, has the largest energy consumption share compared to other systems such as electronics systems, water-heating-cooking, and other systems. This implies that small improvements in HVAC system loads will result in significant energy savings. Novel cost-effective solutions should be developed to integrate and optimize all the essential high-performance building attributes, especially energy efficiency and occupant productivity. Employing comprehensive building energy analysis (BEA) simulation tools are among the cheapest, yet are the cost-effective approaches in improving building energy performance. This paper follows the energy saving practice using existing BEA simulation tools with a focus on two major aspects that can contribute to building thermal loads: building orientation and integrating renewable energy. The results show the significant impact of building orientation for developing energy efficiency solutions with focus on integrating renewable energy technologies within high performance buildings. This work provides a basis for the follow on phases of this research to develop smart energy saving solutions using current BEA simulation platforms. Such adds-on features enable users to improve building energy saving by determining building design features and integrating renewable energy solutions based on identified optimal building orientations.

Energy Efficiency Assessment Oriented Building Energy Consumption System Model

2013 ◽  
Vol 415 ◽  
pp. 734-740
Author(s):  
Yun Long Ma ◽  
Xiao Hua Chen ◽  
Bo Liu ◽  
Guo Feng Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Emission Reduction ◽  
Building Energy ◽  
Efficiency Index ◽  
Assessment System ◽  
Building Energy Consumption ◽  
Building Energy Conservation ◽  
Consumption System

This paper analyzes the characteristics and composition of the energy consumption system of the building from the perspective of systematic energy conservation and presents the systematic framework of the consumption model. Based on the framework, the paper focuses on how to establish a building energy consumption assessment system, find the energy efficiency index system and assessment approaches, and apply the results directly into building energy conservation and emission reduction. It not only facilitates greatly the overall and efficient management of the energy consumption system of the building, but also serves as another new approach to achieve energy conservation and emission reduction.

scholarly journals Technological Energy Efficiency Improvements in Cement Industries

2021 ◽  
Vol 13 (7) ◽  
pp. 3810
Author(s):  
Alessandra Cantini ◽  
Leonardo Leoni ◽  
Filippo De Carlo ◽  
Marcello Salvio ◽  
Chiara Martini ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Descriptive Analysis ◽  
Cement Industry ◽  
Cement Plant ◽  
Improve Energy Efficiency ◽  
Energy Needs ◽  
Industrial Energy ◽  
Industrial Energy Consumption ◽  
Alternative Solutions

The cement industry is highly energy-intensive, consuming approximately 7% of global industrial energy consumption each year. Improving production technology is a good strategy to reduce the energy needs of a cement plant. The market offers a wide variety of alternative solutions; besides, the literature already provides reviews of opportunities to improve energy efficiency in a cement plant. However, the technology is constantly developing, so the available alternatives may change within a few years. To keep the knowledge updated, investigating the current attractiveness of each solution is pivotal to analyze real companies. This article aims at describing the recent application in the Italian cement industry and the future perspectives of technologies. A sample of plant was investigated through the analysis of mandatory energy audit considering the type of interventions they have recently implemented, or they intend to implement. The outcome is a descriptive analysis, useful for companies willing to improve their sustainability. Results prove that solutions to reduce the energy consumption of auxiliary systems such as compressors, engines, and pumps are currently the most attractive opportunities. Moreover, the results prove that consulting sector experts enables the collection of updated ideas for improving technologies, thus giving valuable inputs to the scientific research.

Study on Dynamic Relationship between Economic Growth and Energy Consumption in Chongqing - Based on 1980-2011 Data

2013 ◽  
Vol 448-453 ◽  
pp. 4319-4324
Author(s):  
Sheng Wang ◽  
Chun Yan Dai ◽  
En Chuang Wang ◽  
Chun Yan Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Energy Demand ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Improve Energy Efficiency ◽  
Dynamic Relationship ◽  
Equilibrium Relationship

Analyzed the dynamic interaction characteristics of Chongqing Economic growth and energy consumption between 1980-2011 based on vector auto regression model, impulse response function. The results showed that: 1 Between the Chongqing's economic growth and energy consumption exist the positive long-term stable equilibrium relationship, Chongqing's economic development depending on energy consumption is too high, to keep the economy in Chongqing's rapid economic development, energy relatively insufficient supply sustainable development must rely on the energy market, which will restrict the development of Chongqing's economy. 2At this stage, Chongqing continuing emphasis on optimizing the industrial structure to improve energy efficiency at the same time, the key is to establish and improve the energy consumption intensity and total energy demand "dual control" under the security system, weakening the energy bottleneck effect on economic growth.

Sign in / Sign up

Export Citation Format

Share Document