Accelerating the low-carbon transition: Technological advancements and challenges for the sustainable development of energy, water, and environment systems

Energy Reports, Год журнала: 2024, Номер 11, С. 4676 - 4687

Опубликована: Апрель 26, 2024

This editorial explores the contributions of papers collected in virtual special issue Energy Reports dedicated to series Conferences on Sustainable Development Energy, Water and Environment Systems held Paphos (Cyprus), São Paulo (Brazil), Vlorë (Albania) 2022. Within this article collections, 13 accepted address key research topics aligned with focus SDEWES conferences, such as energy, water, environmental systems, thereby fulfilling aim scope Reports. Since 2002, Water, (SDEWES) serve a platform for fostering inter-sectoral collaborations among scientists worldwide individuals keen delving into sustainable development showcase advancements engage discussions regarding current trends, future trajectories development. In 2022, conference brought together approximately about 800 scientists, researchers, experts from more than 55 Countries. Based published 2022 – 5th SEE SDEWES, 3rd LA 17th is organized several sections covering VSI primary that encompass innovative renewable energy technologies, design solutions buildings communities, simulation tools green fuels, based technologies. Detailed latest technological challenges accelerate transitions are here presented.

Язык: Английский

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A Systematic Review of Occupancy Pattern in Urban Building Energy Modeling: From Urban to Building-scale

Journal of Building Engineering, Год журнала: 2024, Номер 95, С. 110307 - 110307

Опубликована: Июль 29, 2024

Язык: Английский

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Assessing energy demands of building stock in railway infrastructures: a novel approach based on bottom-up modelling and dynamic simulation

Energy Reports, Год журнала: 2022, Номер 8, С. 7508 - 7522

Опубликована: Июнь 10, 2022

In this paper the implementation and application of a novel methodology for estimation energy demand railway building stock is presented. To aim, bottom-up modelling approach implemented in simulation tool developed to assess footprint potential savings buildings. The intended support operators decision-makers planning systematic retrofit necessary up date infrastructure. applied Italian with approach, identifying several groups similar stations (archetypes) that are clustered according real data collected. Afterwards, data-driven model derived from detailed dynamic simulations physic-based models representing whole heritage. As demonstration validity proposed its capability be exploited applications, some energy-saving strategies simulated, comprehensive analysis conducted on considered stations. surrogate shows R2 coefficients always above 0.93 compared predicting heating, cooling electricity demand. Depending size stations, mean relative error range 5.9–15.0%. Furthermore, turns out an easy-to-use analyse scenarios take informed decisions, while easily extensible scalable other contexts. demonstrated, most impactful measure among ones investigated adoption high-performance lighting systems which entail overall primary saving 26%, very low pay back periods (∼1 year).

Язык: Английский

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Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development

Buildings, Год журнала: 2024, Номер 14(5), С. 1241 - 1241

Опубликована: Апрель 27, 2024

Urban building energy models (UBEMs), developed to understand the performance of stocks a region, can aid in key decisions related policy and climate change solutions. However, creating city-scale UBEM is challenging due requirements diverse geometric non-geometric datasets. Thus, we aimed further elucidate process with disparate scarce data based on bottom-up, physics-based approach. We focused three typically overlooked but functionally important commercial stocks, which are sales shopping, healthcare facilities, food services, region Pittsburgh, Pennsylvania. harvested relevant local information employed photogrammetry image processing. created archetypes for types, designed 3D buildings SketchUp, performed an analysis using EnergyPlus. The average annual simulated use intensities (EUIs) were 528 kWh/m2, 822 2894 kWh/m2 respectively. In addition variations found pattern among considerable observed within same stock. About 9% 11% errors shopping facilities when validating results actual data. suggested conservation measures could reduce EUI by 10–26% depending type. assist finding energy-efficient retrofit solutions respect carbon reduction goal at city scale. limitations highlighted may be considered higher accuracy, has high potential integrate urban models, circular economy, life cycle assessment sustainable planning.

Язык: Английский

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A new method for dynamic load simulation of urban building complexes’ heating considering building level occupancy based on shoebox algorithm

Building and Environment, Год журнала: 2024, Номер 261, С. 111710 - 111710

Опубликована: Июнь 2, 2024

Язык: Английский

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