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

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.

2021 ◽  
Vol 13 (13) ◽  
pp. 7251
Author(s):  
Mushk Bughio ◽  
Muhammad Shoaib Khan ◽  
Waqas Ahmed Mahar ◽  
Thorsten Schuetze

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.


2020 ◽  
Vol 25 (2) ◽  
pp. 39-61
Author(s):  
Mohammed Seddiki ◽  
Amar Bennadji ◽  
Mohamed Tehami

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.


2021 ◽  
Vol 111 (01-02) ◽  
pp. 31-36
Author(s):  
Lars Petruschke ◽  
Max Burkhardt ◽  
Benedikt Grosch ◽  
Thomas Kohne ◽  
Matthias Weigold ◽  
...  

Im Projekt ETA-Transfer werden Produktionsanlagen sowie die entsprechenden versorgungstechnischen Anlagen hinsichtlich energetischer Optimierungspotenziale untersucht. Bei sieben Unternehmen werden die jeweiligen lufttechnischen Anlagen analysiert. Hierzu werden Mess- und Unternehmensdaten erhoben, um dann mittels Simulationen potenzielle Energieeffizienzmaßnahmen bewerten zu können. Insgesamt wird in der Fallstudie ein CO2-Einsparpotenzial von circa 870 t/a identifiziert.   The ETA transfer project investigates production plants as well as the corresponding technical supply systems regarding their potential for energy optimization. The heating, ventilation and air conditioning (HVAC) systems of seven companies are analyzed. For this purpose, measurement and company data is collected to simulate and evaluate potential energy efficiency measures. The case study identifies a CO2 savings potential totalling approximately 870 t/a.


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