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Elena G. Dascalaki

Bio: Elena G. Dascalaki is an academic researcher from National and Kapodistrian University of Athens. The author has contributed to research in topics: Energy consumption & Energy conservation. The author has an hindex of 28, co-authored 60 publications receiving 2669 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors analyzed the influence of envelope thermal insulation, age and condition of heating system, on the heating energy consumption and the resulting environmental impact of buildings in Europe.

262 citations

Journal ArticleDOI
TL;DR: In this paper, the authors reviewed standards and guidelines on design, installation, commissioning, operation, and maintenance of HVAC installations in hospital operating rooms, indoor thermal conditions, and summarized measured data from short monitoring of indoor thermal condition along with audit results and main characteristics of 20 ORs in 10 major Hellenic hospitals.

231 citations

Journal ArticleDOI
TL;DR: The proposed Hellenic residential building typology is presented for the first time along with an assessment of various ECMs that are used for an estimate of the energy performance of building stock in Greece in an effort to meet the 9% indicative national energy savings target by 2016.

160 citations

Journal ArticleDOI
TL;DR: In this article, a dynamic building stock model is applied to simulate the development of dwelling stocks in 11 European countries, over half of all European dwellings, between 1900 and 2050, using time series of population and number of persons per dwelling.

122 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present the outcome of a study on the energy performance of Hellenic school buildings and evaluate the potential of several energy conservation measures in terms of energy savings and reduction of greenhouse gas emissions along with the related payback periods.

120 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, the authors reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation.
Abstract: Multi-criteria decision analysis (MCDA) methods have become increasingly popular in decision-making for sustainable energy because of the multi-dimensionality of the sustainability goal and the complexity of socio-economic and biophysical systems. This article reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation. The criteria of energy supply systems are summarized from technical, economic, environmental and social aspects. The weighting methods of criteria are classified into three categories: subjective weighting, objective weighting and combination weighting methods. Several methods based on weighted sum, priority setting, outranking, fuzzy set methodology and their combinations are employed for energy decision-making. It is observed that the investment cost locates the first place in all evaluation criteria and CO2 emission follows closely because of more focuses on environment protection, equal criteria weights are still the most popular weighting method, analytical hierarchy process is the most popular comprehensive MCDA method, and the aggregation methods are helpful to get the rational result in sustainable energy decision-making.

1,868 citations

Journal ArticleDOI
TL;DR: A review of more than 90 published papers is presented here to analyze the applicability of various methods discussed and it is observed that Analytical Hierarchy Process is the most popular technique followed by outranking techniques PROMETHEE and ELECTRE.
Abstract: Multi-Criteria Decision Making (MCDM) techniques are gaining popularity in sustainable energy management. The techniques provide solutions to the problems involving conflicting and multiple objectives. Several methods based on weighted averages, priority setting, outranking, fuzzy principles and their combinations are employed for energy planning decisions. A review of more than 90 published papers is presented here to analyze the applicability of various methods discussed. A classification on application areas and the year of application is presented to highlight the trends. It is observed that Analytical Hierarchy Process is the most popular technique followed by outranking techniques PROMETHEE and ELECTRE. Validation of results with multiple methods, development of interactive decision support systems and application of fuzzy methods to tackle uncertainties in the data is observed in the published literature.

1,715 citations

01 Jan 2012
TL;DR: The questionnaires from the field were received, checked and stored by the data processing personnel and checked the completeness of the questionnaires and the correct bubbling.
Abstract: The questionnaires from the field were received, checked and stored by the data processing personnel. They checked: 1. The completeness of the questionnaires 2. The correct bubbling 3. The correct number of questionnaires per household, if total males + total females > 8 as the questionnaire ONLY accommodated maximum of 8 household members. 4. The reference number appears in all the 10 pages of the questionnaires.

1,200 citations

Journal ArticleDOI
TL;DR: In this paper, an extensive review in the sphere of sustainable energy has been performed by utilizing multiple criteria decision making (MCDM) technique and future prospects in this area are discussed.
Abstract: In the current era of sustainable development, energy planning has become complex due to the involvement of multiple benchmarks like technical, social, economic and environmental. This in turn puts major constraints for decision makers to optimize energy alternatives independently and discretely especially in case of rural communities. In addition, topographical limitations concerning renewable energy systems which are mostly distributed in nature, the energy planning becomes more complicated. In such cases, decision analysis plays a vital role for designing such systems by considering various criteria and objectives even at disintegrated levels of electrification. Multiple criteria decision making (MCDM) is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. This tool is becoming popular in the field of energy planning due to the flexibility it provides to the decision makers to take decisions while considering all the criteria and objectives simultaneously. This article develops an insight into various MCDM techniques, progress made by considering renewable energy applications over MCDM methods and future prospects in this area. An extensive review in the sphere of sustainable energy has been performed by utilizing MCDM technique.

983 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide a systematic approach to proper selection and identification of the best retrofit options for existing buildings and provide a better understanding of how to effectively conduct a building retrofit to promote energy conservation and sustainability.

982 citations