scholarly journals Cost optimal energy performance renovation measures in a municipal service building in a cold climate

2019 ◽  
Vol 111 ◽  
pp. 03022 ◽  
Author(s):  
Juha Jokisalo ◽  
Paula Sankelo ◽  
Juha Vinha ◽  
Kai Sirén ◽  
Risto Kosonen
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
District Heating ◽  
Cost Effective ◽  
Energy Performance ◽  
Cold Climate ◽  
Optimal Solutions ◽  
Target Energy ◽  
The Cost ◽  
Service Building

The energy saving potential of existing buildings is significant compared to new buildings in the EU region. To reduce significantly the CO2 emissions of buildings, energy efficiency of old buildings need to be improved. Aim of this study is to determine cost-optimal solutions for energy renovation and renewable energy production systems for an old existing service building. The example building of this study is a residence for elderly people, which was built in 1955 and located in Finland. This study was carried out by a dynamic building simulation tool IDA-ICE and multi objective optimization tool MOBO. The cost-optimal renovation concepts were determined from over 2.6 billion renovation measure combinations to minimize both target energy consumption and life-cycle costs over 20 years. The results show that air-to-water heat pump is more cost effective heating system for the studied building than district heating from the building owner point of view. Improving thermal insulation level of the external walls from the original level is not the most cost-effective option to improve the energy efficiency of the building. Instead of that, for example, installation of PV and solar thermal systems are recommended in all the cost-optimal solutions regardless of the target energy consumption level.

scholarly journals Impact of office tenants’ electricity use on the cost-optimal solutions in a cold climate

2021 ◽  
Vol 246 ◽  
pp. 05001
Author(s):  
Helena Kuivjõgi ◽  
Liina Laas ◽  
Andrea Ferrantelli ◽  
Martin Thalfeldt
Keyword(s):  
Input Data ◽  
Energy Use ◽  
Energy Performance ◽  
Cold Climate ◽  
Office Building ◽  
Optimal Solutions ◽  
Pv System ◽  
Electricity Use ◽  
The Cost ◽  
The Impact

The buildings’ energy performance requirements in Estonia are based on cost-optimality analysis according to the EPBD and pre-defined building performance simulation (BPS) input data from EN 16798-1:2019. Previous studies have shown that the real electricity use of office building tenants differs from the currently used input data in BPS in Estonia – less in total energy use, but more in the shape of the profiles. The aim of this work is to investigate what is the impact of these differences on the cost-optimal solutions, which are identified based on BPS and the self-consumption of the photovoltaic panel (PV) systems. This study describes the energy performance and construction cost analysis of a new office building in Tallinn, Estonia. BPS based on the EN 16798-1 and a model derived from measurements in a real building were conducted and cost-optimal building solutions identified. The variables were building envelope insulation thickness, air handling unit size and effectiveness, electrical lighting control principles and PV system nominal power. The calculated energy use of the building with the two different sets of input data differed significantly. However, the set of cost-optimal solutions identified with EN 16798-1:2019 input data had minor differences from the set of solutions identified with the more realistic model. The decrease of net present value over 20-year period for cost-optimal solution was 11-14 €/m2 compared to the designed building.The realistic office tenants’ electricity model increased the calculated self-consumption of the PV system from 95% to 100%.

scholarly journals Evaluation of the Cost-Optimal Method Applied to Existing Schools Considering PV System Optimization

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 611
Author(s):  
Cecilia Ciacci ◽  
Neri Banti ◽  
Vincenzo Di Naso ◽  
Frida Bazzocchi
Keyword(s):  
Optimization Procedure ◽  
Cost Effective ◽  
Heating System ◽  
System Optimization ◽  
Cold Climate ◽  
Design Parameters ◽  
Design Environment ◽  
Pv System ◽  
Optimal Method ◽  
The Cost

In Italy in 2020, only 15.5% of school building heritage was retrofitted from an energy and environmental point of view. In this paper, the cost-optimal method was applied to two different school buildings belonging to the same Italian cold climate zone but characterized by different structural and technological solutions. The research aims at defining the cost-effective redevelopment solution among several ones proposed to apply to this building type. At the same time, this paper provides a critical analysis of the methodology applied, highlighting deficiencies related to a not proper evaluation of environmentally friendly retrofitting measures. In a cost-effective context, the main results show that the intervention on the heating system is more convenient than the retrofitting of the envelope. The energy saving is equal to about 35% for both considered schools. Among the different proposed requalification configurations, the adoption of PV (photovoltaic) electric generation is included. In this regard, an optimization procedure was implemented in a generative design environment to maximize energy production with reference to different design parameters. As a result, a solution with south oriented PV modules with a tilt angle of 42° and arranged in 0.7 m spaced rows proved to be the most effective.

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 A Study on Energy and Cost Efficiency for Existing Hotel Buildings in Turkey

2019 ◽  
Vol 111 ◽  
pp. 03037
Author(s):  
Merve Atmaca ◽  
Zerrin Yýlmaz
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Cost Efficiency ◽  
Building Energy ◽  
Energy Performance ◽  
Insulation Material ◽  
Negative Effects ◽  
Energy Needs ◽  
Global Cost ◽  
Optimum Solution

In Turkey, according to TUİK Sectoral Energy Consumption Statistics (2006), the hotel buildings with the highest share, constitute 35% of the total building energy consumption. Energy needs and consumption behaviours differ according to the typology of the building. Energy Performance of Buildings Directive (EPBD) has been adapted to the conditions of Turkey to increase energy and cost efficiency, to reduce the environmental and economic negative effects. The energy consumption and the global cost were investigated under different conditions in an existing hotel building. The paper is unique in its ability to deliver optimum solution through comparison by evaluating energy and cost efficiency at the same time considering sectoral, climatic, technological and economic national conditions when the literature research detailed in the present works about the problem is evaluated in detail. All findings have been compared simultaneously under different climate regions of seasonal and yearly working conditions of selected test hotel to obtain the energy and cost efficiency. Among the proposed improvement scenarios, the optimum scenario is determined in terms of cost and energy efficiency in S18 which has the highest energy efficiency. In this case, both insulation material type and thickness as well as glass type can be bent and through multiple measures can be achieved by 25.7% improvement for energy efficiency.

scholarly journals Optimization of emission reducing energy retrofits in Finnish apartment buildings

2019 ◽  
Vol 111 ◽  
pp. 03002 ◽  
Author(s):  
Janne Hirvonen ◽  
Juha Jokisalo ◽  
Juhani Heljo ◽  
Risto Kosonen
Keyword(s):  
Heat Pump ◽  
Life Cycle Cost ◽  
District Heating ◽  
Cost Savings ◽  
Cost Effective ◽  
Energy Performance ◽  
Heat Pumps ◽  
Apartment Buildings ◽  
Ground Source ◽  
Reduce Emissions

This study examined the cost-optimality of energy renovation on Finnish apartment buildings of different ages, built according to different energy performance requirements. Multi-objective optimization was utilized to minimize both CO2 emissions and life cycle cost (LCC). IDA-ICE simulations were performed to obtain the hourly heating demand of the buildings. Four building age classes and three heating systems (district heating, exhaust air heat pump and ground-source heat pump) were separately optimized. With district heating, it was possible to reduce emissions by 11%, while also reducing LCC. With heat pumps cost-savings could be achieved while reducing emissions by over 49%. With maximal (not cost-effective) investments, emissions could be reduced by more than 70% in all examined cases. In all cases, the cheapest solutions included solar electricity and sewage heat recovery. In old buildings, window upgrades and additional roof insulation were cost-effective. In new buildings, demand-based ventilation was included in all optimal solutions.

scholarly journals Quantitative Analysis of Consumer Preferences of Windows Set in South Korea: The Role of Energy Efficiency Levels

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1816 ◽  
Author(s):  
Kwan Byum Maeng ◽  
Jiyeon Jung ◽  
Yoonmo Koo
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
South Korea ◽  
Willingness To Pay ◽  
Energy Savings ◽  
Consumer Preferences ◽  
Mixed Logit ◽  
The Government ◽  
The Cost

The building sector is considered to be important for Korean energy issues as it accounts for approximately 20% of Korea’s final energy consumption. As one of Korea’s passive strategies in its emission reduction plan is reducing energy consumption through improvements in energy efficiency because the energy loss mostly occurs from window sets, this study aims to examine the preferences and role of the energy efficiency level of window sets in South Korea. Given that the lifespan of a building exceeds 20 years, a building’s energy efficiency significantly impacts accumulated energy savings. However, window sets affect not only energy efficiency, but also the interior appearance of the building; therefore, it is important to understand consumer preferences and to examine their effect on building energy reduction accordingly. Using a mixed logit model, this study analyzes window set preferences and energy savings. As a result, this study determines that consumers consider the energy efficiency level to be the second most important factor in determining window preference, following the cost of the window. In addition, this study found that the marginal willingness to pay for efficiency level 2 window sets compared to level 3 window sets is USD 1256. For level 1 window sets, this figure increases to USD 3140. Further, a scenario analysis is conducted to analyze the government incentive program’s effectiveness in encouraging consumers to purchasing higher energy efficiency more efficient products, and thus in promoting the eco-friendly consumption of in households. Taking into consideration of households’ willingness to pay and cost saving amount for using energy efficient window sets, the optimal value of government incentives of is found to be approximately USD 700 is found to be optimal.

A step towards the optimization of the indoor luminous environment by genetic algorithms

2015 ◽  
Vol 26 (5) ◽  
pp. 590-607 ◽  
Author(s):  
B. Mattoni ◽  
P. Gori ◽  
F. Bisegna
Keyword(s):  
Energy Efficiency ◽  
Genetic Algorithms ◽  
Cost Effectiveness ◽  
Energy Performance ◽  
Lighting Design ◽  
Luminous Flux ◽  
Light Sources ◽  
The Cost ◽  
Indoor Lighting ◽  
Optimal Configurations

Buildings are heavily responsible for energy consumption and CO2 emissions. Increasing their energy efficiency is in the direction of the EU strategies; and this is consistent with EU Energy Performance of Buildings Directive (EPBD 2010/31/EU), 2010. In this view the design and management of daylight and artificial light can play a fundamental role. In this paper, a method to optimize indoor lighting design from energy efficiency, economic and environmental viewpoints is presented. The optimization was developed through the Genetic Algorithms technique and the optimal layout in terms of number, location and mounting heights of luminaires in a generic office room was evaluated. Solutions with different types of light sources, nominal luminous flux and photometric distribution curves were compared and the cost effectiveness of these alternatives was also considered. The systems resulting from the optimization show increased uniformity of illuminance, a reduction of the number of luminaires and a decrease of the maximum UGR values, proving the effectiveness of the technique in the lighting design field. Results show that current methods for lighting design can still be improved to achieve optimal configurations in terms of energy efficiency and cost effectiveness.

Optimization of Energy Consumption Using BIM-Based Building Energy Performance Analysis

2013 ◽  
Vol 281 ◽  
pp. 649-652 ◽  
Author(s):  
Dae Kyo Jung ◽  
Dong Hwan Lee ◽  
Joo Ho Shin ◽  
Byung Hun Song ◽  
Seung Hee Park
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Performance Analysis ◽  
Cooling System ◽  
Optimization Technique ◽  
Building Energy ◽  
Energy Performance ◽  
Information Modeling ◽  
Building Energy Performance ◽  
Heating And Cooling

Recently, the interest in increasing energy efficiency of building energy management system (BEMS) has become a high-priority and thus the related studies also increased. In particular, since the energy consumption in terms of heating and cooling system takes a large portion of the energy consumed in buildings, it is strongly required to enhance the energy efficiency through intelligent operation and/or management of HVAC (Heating, Ventilation and Air Conditioning) system. To tackle this issue, this study deals with the BIM (Building Information Modeling)-based energy performance analysis implemented in Energyplus. The BIM model constructed at Revit is updated at Design Builder, adding HVAC models and converted compatibly with the Energyplus environment. And then, the HVAC models are modified throughout the comparison between the energy consumption patterns and the real-time monitoring in-field data. In order to maximize the building energy performance, a genetic algorithm (GA)-based optimization technique is applied to the modified HVAC models. Throughout the proposed building energy simulation, finally, the best optimized HVAC control schedule for the target building can be obtained in the form of “supply air temperature schedule”.

scholarly journals Finding Alternative Methods for Controlling the Power Shortage in Kurdistan through Improving Buildings’ Energy Performance

2018 ◽  
Vol 7 (4) ◽  
pp. 124
Author(s):  
Kawar T. Salih
Keyword(s):  
Energy Efficiency ◽  
Developing Countries ◽  
Energy Consumption ◽  
Energy Demand ◽  
Building Design ◽  
Energy Performance ◽  
Alternative Methods ◽  
Research Approach ◽  
Building Sector

The power shortage is one of the major problems in developing countries. Kurdistan Region of Iraq suffers from this issue, like other developing countries. Especially, after the economy crises that has started in 2014. However, all its efforts for tackling this challenge has been in providing more energy supply stations and more fuel provision. Few studies have been found in the region that seek the relation between the quality of buildings and energy consumption. It is questioned if the building sector in Kurdistan is well managed and environmentally sufficient to consume minimum amount of energy since it is the largest energy consuming sector. This research will seek an alternative to decrease the energy demand in buildings instead of expanding the energy sector. This could be achieved by evaluating the quality of building sector environmentally and improving it. Providing guidelines for building’s thermal regulations, passive building design and increasing the energy efficiency of buildings by renewal means could be alternative strategies for lowering the energy consumption. Theoretical and numerical research approach have been taken in to account for finding the answer through a case study and comparative analysis. A variation of 21-29% of power consumption can be observed between buildings that have not considered energy efficiency criteria in their design and those who reflected them more in the design.

scholarly journals ENERGY RETROFITS FOR IMPROVING ENERGY EFFICIENCY IN BUILDINGS: A REVIEW OF HVAC AND LIGHTING SYSTEMS

2021 ◽  
Author(s):  
M.R. Amjath ◽  
◽  
H. Chandanie ◽  
S.D.I.A. Amarasinghe ◽  
◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Use ◽  
Implementation Process ◽  
Energy Performance ◽  
Existing Buildings ◽  
Energy Auditing ◽  
Lighting Systems ◽  
Effective Decision Making ◽  
And Performance

It has been observed that inefficient buildings consume three to five times more energy than efficient buildings. Subsequently, improving the Energy Efficiency (EE) of existing buildings, which account for a significant portion of the energy consumption of the building sector, has become a top priority. Also, Heating, Ventilation, and Air Conditioning (HVAC) and lighting systems typically account for three-quarters of a building's energy consumption. Hence, focus on the energy efficiency improvements associated with these subsystems is entailed to optimise the energy use of buildings in comparison to other energy consumers. Energy Retrofit (ER) is defined as the main approach in improving the energy efficiency of buildings to achieve energy reduction goals. Nevertheless, there is a general lack of awareness regarding ER. Thus, the purpose of this article is to bridge this research gap by critically reviewing the applicable literature on ER. The paper first analysed the role of retrofits in buildings concerning optimising energy performance. The paper also discusses the implementation process of ER, which includes five steps viz. pre-retrofit survey, energy auditing, and performance assessment, identification of suitable and feasible retrofit options, site implementation and commissioning, and validation and verification. Further, different types of ER applicable to HVAC and lighting systems are discussed. In their endeavor to enhance the EE of existing buildings, practitioners could apply the findings of this study, as a basis to understand the available ER types and as a measure to gauge the efficiency of existing buildings, which will facilitate effective decision-making.

Sign in / Sign up

Export Citation Format

Share Document