scholarly journals Modelling the deployment of energy efficiency measures for the residential sector. The case of Italy

2022 ◽  
Vol 49 ◽  
pp. 101777
Author(s):  
Vincenzo Bianco ◽  
Clara Marmori
Keyword(s):  
Energy Efficiency ◽  
Residential Sector ◽  
Energy Efficiency Measures ◽  
Efficiency Measures

scholarly journals Barriers to the Adoption of Energy Efficiency Measures in Mostaganem, Algeria

2020 ◽  
Vol 25 (2) ◽  
pp. 39-61
Author(s):  
Mohammed Seddiki ◽  
Amar Bennadji ◽  
Mohamed Tehami
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Principal Component ◽  
Single Family ◽  
Total Energy Consumption ◽  
Financial Barriers ◽  
Residential Sector ◽  
Energy Efficiency Measures ◽  
Efficiency Measures ◽  
The Government

The residential sector of Algeria consumes 29% of the total energy consumption. In order to reduce and address this consumption along with the challenges of climate change, the Algerian public policy considers energy efficiency investment measures (EEIMs) in the residential sector as a key factor. However, despite the recommendations and incitement measures from the government, the adoption of EEIMs of Algerian homeowners is too low. In 2018, EEIMs have been implemented in 4,000 houses. This number represents only 4% of the government's target which is the implementation of EEIMs in 100,000 houses per year. The present article, accordingly, attempts to explore the barriers to the adoption of EEIMs. To this effect, a questionnaire survey with 150 randomly selected Algerian single-family homeowners in Mostaganem area was used for the study. It was found that the five greatest barriers to the adoption of EEIMs were: (1) the lack of subsidies and rebates on energy efficient equipment, (2) the high initial prices of energy efficient equipment, (3) the lack of techniques and tools for the estimation of saved energy, (4) the unwillingness to borrow money and (5) the difficulty of identifying, procuring, installing, operating and maintaining energy efficiency measures. The principal component analysis categorised 16 barriers around four components: (1) "Financial" barriers, (2) "Technological" barriers, (3) "Lack of time and knowledge" barriers and (4) "Attitude towards energy efficiency improvements" barriers. Finally, the multivariate analysis of variance (MANOVA) analysis has shown that the perception of barriers to the adoption of EEIMs also differs in accordance with certain personal characteristics of the homeowner.

scholarly journals ESTIMATION OF ECONOMIC EFFICIENCY CONCEPT OF ENERGY EFFICIENCY MEASURES FOR RESIDENTIAL BUILDINGS

2017 ◽  
pp. 199-208
Author(s):  
N. GRIGORYEVA
Keyword(s):  
Energy Efficiency ◽  
Economic Efficiency ◽  
Cost Estimation ◽  
Residential Buildings ◽  
Economic Cost ◽  
Residential Sector ◽  
Energy Efficiency Measures ◽  
Efficiency Measures

The residential sector is a significant reserve for improving the energy efficiency of the Belarussian economy. Increasing the energy efficiency of residential buildings approaches are explored through a comprehensive concept for assessing the economic efficiency of energy efficiency measures. Four types of evaluation of the effectiveness of measures to improve the energy efficiency of residential buildings are defined: the economic cost estimation, the evaluation of economic results, the evaluation of social results, the evaluation of environmental results. Depending on the objectives and constraints set by stakeholders, inherent in each project, four models are identified for the formation of a project to improve the energy efficiency of residential buildings.

Understanding technology ownership to reveal adoption trends for energy efficiency measures in the Greek residential sector

Energy Policy ◽  
2020 ◽  
Vol 140 ◽  
pp. 111413 ◽  
Author(s):  
Niki-Artemis Spyridaki ◽  
Vassilis Stavrakas ◽  
Yiannis Dendramis ◽  
Alexandros Flamos
Keyword(s):  
Energy Efficiency ◽  
Residential Sector ◽  
Energy Efficiency Measures ◽  
Efficiency Measures

scholarly journals Assessing the impact of energy efficiency measures on load diagram shape—a case study in the Portuguese residential sector

2021 ◽  
Vol 14 (8) ◽  
Author(s):  
José Luís Sousa ◽  
António Gomes Martins ◽  
Rodrigo Luiz da Costa
Keyword(s):  
Energy Efficiency ◽  
Distribution System ◽  
Hot Water ◽  
Negative Power ◽  
Load Variations ◽  
Residential Sector ◽  
Energy Efficiency Measures ◽  
Efficiency Measures ◽  
The Impact

AbstractThis paper intends to address the effect of energy efficiency and load management measures on load diagrams. In order to assess this specific impact, diagrams of load variations caused by energy efficiency measures are proposed. A case study is used to illustrate the effects of energy efficiency measures implemented under the Portuguese plan for the promotion of efficient electricity use (PPEC). The diagrams of load variations were estimated for measures targeting the residential sector which were approved in the six PPEC editions launched until presently. The measures were grouped according to the targeted energy service. The results of this case study indicate that energy distribution operators can change their load diagram by implementing energy efficiency measures in consumer dwellings, with demand reduction at critical periods. It is shown that energy efficiency in lighting measures can help smoothen the evening demand peak at 10 p.m. On the other hand, the effect of hot water measures, although beneficial in terms of energy saving, may increase the negative power gradient occurring at 9 a.m. due to photovoltaic generation under clear sky conditions. Diagrams of load variations can help to estimate the impact of energy efficiency measures on the network load diagram and can give important information for decision support to the distribution system operator, the utilities, and the energy regulator.

scholarly journals Impact of Passive Energy Efficiency Measures on Cooling Energy Demand in an Architectural Campus Building in Karachi, Pakistan

2021 ◽  
Vol 13 (13) ◽  
pp. 7251
Author(s):  
Mushk Bughio ◽  
Muhammad Shoaib Khan ◽  
Waqas Ahmed Mahar ◽  
Thorsten Schuetze
Keyword(s):  
Energy Efficiency ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Information Modeling ◽  
Base Case ◽  
Energy Efficiency Measures ◽  
Efficiency Measures ◽  
The Impact ◽  
Cooling Energy Demand ◽  
Campus Building

Electric appliances for cooling and lighting are responsible for most of the increase in electricity consumption in Karachi, Pakistan. This study aims to investigate the impact of passive energy efficiency measures (PEEMs) on the potential reduction of indoor temperature and cooling energy demand of an architectural campus building (ACB) in Karachi, Pakistan. PEEMs focus on the building envelope’s design and construction, which is a key factor of influence on a building’s cooling energy demand. The existing architectural campus building was modeled using the building information modeling (BIM) software Autodesk Revit. Data related to the electricity consumption for cooling, building masses, occupancy conditions, utility bills, energy use intensity, as well as space types, were collected and analyzed to develop a virtual ACB model. The utility bill data were used to calibrate the DesignBuilder and EnergyPlus base case models of the existing ACB. The cooling energy demand was compared with different alternative building envelope compositions applied as PEEMs in the renovation of the existing exemplary ACB. Finally, cooling energy demand reduction potentials and the related potential electricity demand savings were determined. The quantification of the cooling energy demand facilitates the definition of the building’s electricity consumption benchmarks for cooling with specific technologies.

scholarly journals Future Greener Seaports: A Review of New Infrastructure, Challenges, and Energy Efficiency Measures

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Muhammad Sadiq ◽  
Syed Wajahat Ali ◽  
Yacine Terriche ◽  
Muhammad Umair Mutarraf ◽  
Mustafa Alrayah Hassan ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Efficiency Measures ◽  
Efficiency Measures ◽  
New Infrastructure
Sign in / Sign up

Export Citation Format

Share Document