Cold Climate Challenges: Analysis of Heat Recovery Efficiency in Ventilation Systems DOI Creative Commons
Aleksejs Prozuments, Jurģis Zemītis,

Aleksejs Bulanovs

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(22), P. 7483 - 7483

Published: Nov. 8, 2023

As building energy consumption gains ever-increasing attention worldwide, the focus on addressing it through examination and optimization of efficient heat recovery solutions continues to intensify. With well-insulated airtight buildings, proportion heating needs attributed ventilation is growing, leading widespread integration in mechanical systems. Heat a highly strategy for reducing losses conserving energy. This study involves investigation unit installed an apartment situated Riga, Latvia, as practical system efficiency within Latvian climate conditions, representing cold region. The objective this was examine with variable outdoor exhaust air parameters, given that dry different from actual efficiency. equipped plate exchanger at airflow rate 105 m3/h. To evaluate efficiency, extensive measurements temperature relative humidity were conducted. collected data analyzed, employing statistical regression analysis ensure measurement reliability assess correlations. findings indicated strong correlation between variables such content, moisture sensible parameters. It observed 6% higher than calculated emphasizing importance considering real-world conditions assessments. Additionally, demonstrated positive linear coefficient 0.77, highlighting dependency theoretical model. These quantitative outcomes provide essential insights optimizing systems enhancing energy-efficient practices, especially environments. Moreover, highlights Findings offer

Language: Английский

Advancing waste heat potential assessment for net-zero emissions: A review of demand-based thermal energy systems DOI
Jinwoo Oh, Ukmin Han,

Yujun Jung

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 202, P. 114693 - 114693

Published: June 22, 2024

Language: Английский

Citations

8
Novel approach to energy consumption estimation in smart homes: application of data mining and optimization techniques DOI Creative Commons

Mengyuan Lin,

Liyuan Peng, Tingting Liu

et al.

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 8, 2024

Buildings account for a significant portion of total energy consumption, and the introduction intelligent buildings represents step forward in efficiently managing utilization. The proposed solutions represent development residential environments. Beginning process achieving improved building intelligence necessitates thorough evaluation prediction necessary heating cooling requirements, taking into all relevant influencing factors. This study describes methodologies using data mining models to predict requirements during construction phase. Data techniques, specifically Support Vector Machines (SVM) Random Forest, are used, demonstrating their superior efficiency over alternative methods. Metaheuristic algorithms, particularly Owl Search Algorithm (OSA), described as effective tools optimizing results across wide range problem resolutions. OSA is alongside novel methods, that this combination algorithms improves performance Forest SVM-based by 11% 24%, respectively. can generate predictions with small number parameters, eliminating need complex software tools. user-friendly approach makes more accessible wider audience. While specialized equipment professional-grade will be individuals interested participating process.

Language: Английский

Citations

6
Energy characteristics of multi-chiller load distribution algorithms in a large office building DOI
Jiwon Park,

Jae Hwan,

Yeobeom Yoon

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 318, P. 114462 - 114462

Published: June 24, 2024

Language: Английский

Citations

6
Optimising urban office block morphologies with photovoltaic system integration: An energy-environment-economic evaluation under climate change scenarios DOI Creative Commons
Gaomei Li,

Huangwanjin Zhou,

Jian Kang

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115318 - 115318

Published: Jan. 1, 2025

Language: Английский

Citations

0
Supply-demand matching analysis of solar energy systems integrated with ASHP utilization in residential buildings with various time scale DOI Creative Commons
Min Chen, Shi Zhang Qiao

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105859 - 105859

Published: Feb. 1, 2025

Language: Английский

Citations

0
Overheating causes in cold regions’ residences under evoling building regulations: Focusing on field investigation and simulation of envelope performance DOI
Jiahui Yu, Bolun Zhao,

Yitong Xu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 113180 - 113180

Published: May 1, 2025

Language: Английский

Citations

0
The Impact of Climate Change on Economic Uncertainty in the Renovation of a Social Housing Building DOI Creative Commons
Marco Manzan,

Atlas Ramezani,

Julia Jean Corona

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(10), P. 2562 - 2562

Published: May 15, 2025

The renovation of buildings impacts various factors; one them is the economic aspect, which has a significant influence on decision-making process in building refurbishment, especially social housing. An often-neglected aspect climate change. Typically, historical data are used to estimate building’s future energy needs. However, due change, this approach may fail accurately represent environmental conditions, resulting miscalculations consumption and costs. This study analyzed archetype obtained from TABULA webtool with characteristics house located Trieste. Dynamic simulations were performed using DesignBuilder EnergyPlus software models (the GERICS_CNRM-CM5 GERICS_IPSL-CM5A-MR EURO-CORDEX database). projected needs renovated its effects compared current scenarios, uncertainties parameters, outcome expressed terms percentiles Net Present Value (NPV). results show that since temperature increases future, need for heating period reduces, while cooling increases, directly affecting statistical distribution NPV.

Language: Английский

Citations

0
How to allocate mitigation efforts between home insulation, fuel switch and fuel decarbonization? Insights from the French residential sector. DOI Creative Commons
Célia Escribe,

Lucas Vivier,

Louis-Gaëtan Giraudet

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(5), P. 054018 - 054018

Published: April 4, 2024

Abstract Reducing greenhouse gas emissions in residential buildings relies on three channels that are rarely assessed together—insulating homes, switching to low-carbon heating systems and decarbonizing fuels. Their combination results from an interplay between top-down planning of the energy system decentralized policies for sector—insulation subsidies particular. In this paper, we examine how design insulation influences allocation efforts these channels. To do so, use innovative framework coupling a highly detailed model demand with system, both focused France. We find most cost-effective effort reach carbon neutrality implies 19% emission reductions home insulation, 36% fuel switch 45% decarbonization. This however requires perfectly targeted subsidies. alternative, arguably more realistic subsidy scenarios, total cost is increased by 11%–16%. Our highlight key role played specifications determining trade-off switch, e.g. investments doubles, heat pump adoption lower, when restricted comprehensive measures. Finally, alternative assumptions regarding availability renewable sources—biogas particular—imply stronger efficiency efforts.

Language: Английский

Citations

3
Integration of resilient cooling technologies in building stock: Impact on thermal comfort, final energy consumption, and GHG emissions DOI
Essam Elnagar, Alessia Arteconi, Per Heiselberg

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 261, P. 111666 - 111666

Published: May 22, 2024

Language: Английский

Citations

3
Innovations for Holistic and Sustainable Transitions DOI Creative Commons
Phoebe Koundouri, Angelos Alamanos,

Stathis Devves

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(20), P. 5184 - 5184

Published: Oct. 18, 2024

Energy system planning has evolved from a narrow focus on engineering and supply works towards addressing more complex, multifactorial challenges. Increasingly challenged by climate change, extreme events, economic shocks, altered demand patterns, the analysis of energy systems requires holistic approaches based data-driven models, taking into account key socio-economic factors. We draw insights reviewing literature, indicating need to cover following major gaps: shift transdisciplinary approaches, incorporating environmental analysis; resilient sustainable designs flexible portfolios renewable mixes; integration aspects, analyses behavioural models ensure are not only technically sound but socially acceptable viable; for stakeholder engagement considering human angle in security shifts. Responding these pressing challenges emerging needs, Global Climate Hub (GCH) initiative, operating under UN Sustainable Development Solutions Network, offers conceptual framework, leveraging approaches. In this Concept Paper, we present first time idea GCH as framework that believe potential address modern needs policymaking. By setting conceptual/theoretical ground our suggested approach, aim provide guidance innovative combinations cutting-edge narratives, inclusive interaction with relevant stakeholders development long-term implementation pathways.

Language: Английский

Citations

3