Authors: Iason C. Dimitriou, Elissaios Sarmas, Georgios P. Tranchanas, Vangelis Marinakis, Haris Doukas

Abstract:This study proposes a novel method for selecting optimal Offshore Wind Farm (OWF) locations in Greece by integrating GIS with Multi-Criteria Decision-Making (MCDM) techniques, specifically using AHP and an extended VIKOR method. It evaluates 35 offshore sites based on technical, environmental, legal, and safety factors, even when information is incomplete. The approach identifies top locations like south of Alexandroupoli and east of Xerokampos, aiming to support Greece's renewable energy goals. The methodology is adaptable for global application, and thus replicable in any country.

Read the full article here: https://www.sciencedirect.com/science/article/pii/S1364032124006889?via%3Dihub

Authors: Iason C. Dimitriou, Apostolos Arsenopoulos, Georgios P. Tranchanas, Eliissaios Sarmas, Vangelis Marinakis

Abstract: This study introduces a novel GIS and MCDM-based approach to assess urban photovoltaic (PV) potential in Riga, Latvia. Using AHP and MABAC methods, 58 districts were evaluated on technical, social, and economic criteria to rank their suitability for rooftop PV installations. The methodology highlights both optimal locations and the importance of socioeconomic equity in renewable energy planning, offering practical insights for urban sustainability efforts.

Read the full article here: https://www.sciencedirect.com/science/article/pii/S0960148124017440?via%3Dihub

Authors: A. Giannadakis, A. Romeos, I. Kalogirou, Dimitris I. Dimopoulos, Georgios P. Tranchanas, Vangelis Marinakis, G. Mihalakakou

Abstract: This study analyzes the energy performance of a passive house to support the transition from Nearly Zero Emission Buildings (NZEBs) to Positive Energy Buildings. Using real-time data from a dense sensor network, the energy efficiency and indoor comfort levels were assessed, showing better-than-expected results. The findings, including low specific energy consumption for heating (7.18 kWh/m²a) and cooling (7.34 kWh/m²a), provide valuable benchmarks for improving NZEB design, energy modeling (BEM), and information systems (BIM) in sustainable construction.

Read the full article here: https://www.tandfonline.com/doi/full/10.1080/15567249.2025.2455114

Authors: Conceptualization, A.M. and R.B.-B.; methodology, M.K. and M.S.; software, A.M. and R.B.-B.; validation, A.M., M.K. and E.K.; formal analysis, A.M., M.K., M.S. and A.S.; investigation, A.M. and R.B.-B.; resources, A.M. and R.B.-B.; data curation, M.K., M.S. and E.K.; writing—original draft preparation, A.M., M.K., M.S. and R.B.-B.; writing—review and editing, E.K. and A.S.; visualization, A.M., M.K., M.S. and A.S.; supervision, E.K. and A.S.; project administration, A.M. and R.B.-B.; funding acquisition, A.M. and R.B.-B. All authors have read and agreed to the published version of the manuscript.

Abstract: Building information modeling (BIM) and thermal imaging from drone flyovers present innovative opportunities for enhancing building energy efficiency. This study examines the integration of BIM models with thermal data collected using unmanned aerial vehicles (UAVs) to assess and manage energy performance throughout a building’s lifecycle. By leveraging BIM’s structured data and the concept of the digital twin, thermal analysis can be automated to detect thermal bridges and inefficiencies, facilitating data-driven decision-making in sustainable construction. The paper examines methodologies for combining thermal imaging with BIM, including image analysis algorithms and artificial intelligence applications. Case studies demonstrate the practical implementation of UAV-based thermal data collection and BIM integration in an educational facility. The findings highlight the potential for optimizing energy efficiency, improving facility management, and advancing low-emission building practices. The study also addresses key challenges such as data standardization and interoperability, and outlines future research directions in the context of smart city applications and energy-efficient urban development.

Read the full article here: https://www.mdpi.com/1996-1073/18/13/3225#Abstract

Authors:  Iason C. Dimitriou, Georgios P. Trachanas, Apostolos Arsenopoulos, Elissaios Sarmas

Abstract: Extreme heat has become a common phenomenon especially the summer months. Dense urban environments suffer greatly from extreme heat events, which makes the everyday life of citizens difficult. For the more vulnerable population, such as the elderly, extreme heat waves can become dangerous for their health and even lethal. The study employs a Future Heat Risk Index to evaluate potential heat-related vulnerabilities under different climate change scenarios, particularly Representative Concentration Pathway 8.5 for the year 2040. Through the integration of climate change projections and spatial analysis, the research identifies areas at high risk of heat-related impacts and prioritizes mitigation strategies. Key findings underscore the importance of proactive planning and adaptation measures in enhancing resilience to extreme heat events, particularly in Mediterranean cities like those in Attica, Greece. The proposed mitigation strategies include implementation of vegetation enhancement and cold materials installation. The effects of both strategies are compared and discussed, highlighting the importance of incorporating climate change scenarios into decision-making processes to safeguard public health and well-being in a warming climate.

Read the full article here: https://ieeexplore.ieee.org/document/10786707/authors#authors

Authors: V I Serna González, C Rodríguez Alonso, I Ramos Diez, E Vallejo Ortega

Abstract: This paper presents the Built Environment Climate Scenarios Service, an interactive web-based tool developed to support urban energy planning and climate adaptation. Designed within the European BUILDSPACE project, the service estimates and projects residential building energy demand under different climate change scenarios using geospatial data, standardised energy models aligned with the Energy Performance of Buildings Directive (EPBD), and CMIP6 climate projections. The methodology has been applied to two case studies: Riga (Latvia), where a full deployment enabled energy demand projections, visualization via EPC-based mapping, and simulation of passive retrofitting strategies; and Piraeus (Greece), which served as a replication exercise to test adaptability in data-scarce environments. The tool enables users to compare baseline and future energy demand, simulate refurbishment scenarios, and assess resilience to climate impacts using interactive maps. Its browser-based design ensures accessibility without specialised software, supporting municipalities and planners in evidence-based decision-making. Results demonstrate the tool’s scalability, highlighting its value in identifying high-demand areas, evaluating energy-saving measures, and guiding investment decisions. The service offers a practical solution for integrating energy efficiency and climate resilience into long-term urban planning strategies across European cities.

Read the full article here: https://iopscience.iop.org/article/10.1088/1742-6596/3140/20/082016

Authors: Iason C. Dimitriou, Apostolos Arsenopoulos, Alexandros Xenakis, Panos Kouloukakis, Vangelis Marinakis

Abstract: This study presents a GIS-based methodology for assessing urban heat vulnerability by integrating spatial, environmental, and socio-economic data. The research focuses on the Athens Metropolitan Area, a city highly exposed to extreme heat due to climate change, dense urban fabric, and limited green spaces. The methodology is designed to bridge the gap between conventional Heat Risk Index (HRI) assessments-based on temperature patterns and built environment characteristics-and the socio-economic vulnerability of the population, which is often overlooked in climate resilience studies. The proposed approach follows a twostep analysis: Spatial Heat Risk Assessment for mapping urban heat exposure through various parameters; and Socio-Economic Vulnerability Integration to enrich the heat risk model by generating an Enhanced Heat Risk Index (EHRI), offering a more holistic understanding of vulnerability. The results reveal a strong correlation between high heat exposure and socially marginalized populations, who are more likely to reside in energyinefficient buildings with poor climate resilience. The comparison between HRI and EHRI highlights the necessity of incorporating socio-economic factors into heat risk assessments to ensure equitable and citizencentered climate adaptation strategies. This research provides a replicable framework for other urban regions, supporting evidence-based policymaking that prioritizes the protection of vulnerable communities. The findings emphasize the need for targeted interventions such as green infrastructure expansion, heat-reflective building materials, and affordable cooling solutions to enhance urban climate resilience and promote socially inclusive adaptation policies.

Read the full article here: https://ieeexplore.ieee.org/document/11107091

Authors: dr. Nataša Sirnik, Kristina Klemen, Petra Pergar

Abstract: Študija predstavlja celosten postopek za oceno tveganja pred poplavami, ki vključuje tudi oceno učinkovitosti modro-zelene infrastrukture (MZI) kot strategije za blažitev posledic podnebnih sprememb. Predlagana metodologija je bila razvi ta v okviru projektov BULDSPACE in CLIMRES ter zajema tri ključne sestavine: (i) prostorsko oceno poplavne ogroženosti, ki temelji na arhivskih in senzorskih podatkih, modeliranju odtoka in kar tiranju kritičnih območij, (ii) taktično načrtovanje upravljanja poplav z možnostjo upoštevanja sce narijev z ukrepi MZI in (iii) priporočila za mestna okolja, usmerjena v povečanje odpornosti na poplave. Postopek vključuje identifikacijo obmo čij, ki so posebej ogrožena zaradi poplav, ukrepe za zaščito prebivalcev in objektov, uporabo pro jekcij podnebnih sprememb, zbiranje podatkov in vključevanje možnih ukrepov MZI. Cilj je zagotoviti jasne in uporabne informacije deležnikom na rav ni mestnih četrti in posameznih stavb. Dve pilotni študiji – Ljubljana (Slovenija) in Senigallia (Italija) – prikazujeta uporabo tega pristopa v različnih ur banih okoljih z različnimi okoljskimi izzivi. Izvedba v pilotnih mestih prinaša pomembne vpoglede v integracijo MZI v upravljanje s poplavami, pomen sprotne obdelave podatkov in potrebo po uporab niku prijaznih orodjih za podporo odločanju, na menjenih raziskovalcem, urbanistom in oblikoval cem smernic.

Read the full article here: Comprehensive Approach to Integrating Blue-Green Infrastructure for Reducing Urban Flooding