Energy efficiency in residential and non-residential buildings: Short-term macroeconomic implications

Slabe‐Erker, Renata; Dominko, Miha; Bayar, Ali; Majcen, Boris; Primc, Kaja

doi:10.1016/j.buildenv.2022.109364

Cited by 15 publications

(5 citation statements)

References 53 publications

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“…Beside, by 2050, two-thirds of the world's energy supply could be met by renewable energy. Thus, the implementation and development of renewable energy technologies is the leeway for the transition to a low-carbon economy in the future (Slabe-Erker et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: An empirical investigation of the impact of renewable and non-renewable energy consumption and economic growth on climate change, evidence from emerging Asian countries

Zhao¹,

Zhang

Ali

et al. 2023

Front. Environ. Sci.

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One of the greatest challenges facing humanity in the current millennium is the need to mitigate climate change, and one of the most viable options to overcome this challenge is to invest in renewable energy. The study dynamically examines the impact of renewable and non-renewable energy consumption and economic growth on climate change, using Augmented Mean Group (AMG) technique in emerging Asian countries during the period 1975–2020. The estimated results show that the consumption of renewable energy sources significantly mitigates climate change, while the consumption of non-renewable energy sources significantly contributes to climate change. Furthermore, economic growth, investment in transport infrastructure, and urbanization significantly accelerate climate change in specific emerging Asian countries. The results further demonstrate the validity of the inverted U-shaped EKC hypothesis in emerging Asian economies. Country-specific analysis results using AMG estimates shows that renewable energy consumption reduces climate change for all specific emerging Asian countries. However, the consumption of non-renewable energy sources and investments in transport infrastructure have significant incremental impacts on climate change in all countries. Urbanization contributes significantly to climate change, with the exception of Japan, which does not have any significant impact on climate change. The significant progressive effect of GDP and the significant adverse impact of GDP2 on climate change confirm the validity of the inverted U-shaped EKC hypothesis in India, China, Japan, and South Korea. Moreover, the Dumitrescu and Hurlin causality test confirmed a pairwise causal relationship between non-renewable energy consumption and GDP, supporting the feedback hypothesis. According to the empirical analysis of this study, the best strategy for climate change mitigation in specific emerging countries in Asia is to transition from non-renewable energy to renewable energy.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: An empirical investigation of the impact of renewable and non-renewable energy consumption and economic growth on climate change, evidence from emerging Asian countries

Zhao¹,

Zhang

Ali

et al. 2023

Front. Environ. Sci.

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show abstract

“…Energy consumption constitutes a fundamental component of contemporary economies, being involved in the matrix of residential needs [1,2], industrial functionality [3][4][5], and macroeconomic dynamics [6,7]. The significance of energy consumption exceeds its utilitarian value, emerging as a key factor influencing a nation's economic robustness [8], environmental protection [9], and general resident well-being, including functional [10], visual [11,12], and thermal comfort [13].…”

Section: Introductionmentioning

confidence: 99%

Energy Performance in Residential Buildings as a Property Market Efficiency Driver

Walacik,

Chmielewska

2024

Energies

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Energy consumption plays an important role in contemporary economies. Its significance extends beyond utilitarian value, impacting economic robustness, environmental protection, and residents’ well-being. The escalating global energy requisites necessitate efficient energy utilization and a shift towards renewable sources to address climate change and strengthen energy independence. Developing accurate predictive models to forecast long-term energy costs and savings remains a complex problem. This paper aims to provide a methodology to identify the influence of building energy performance on real estate market efficiency, focusing on property maintenance costs. Real estate plays a crucial role in human life, serving both as a fundamental need and as a vehicle for achieving personal aspirations and secure financial investments, particularly during times of economic and social instability. Through interdisciplinary methodological architecture, this study addresses three key issues: the impact of rising energy costs on market efficiency, the responsiveness of the real estate market to energy price fluctuations, and the significance of property maintenance costs on market value. The research approach includes creating and applying AI algorithms capable of evaluating extensive datasets pertaining to real estate features. Utilizing machine learning methods, the algorithm determines the importance of energy efficiency measures as well as various other inherent and external attributes of properties. The suggested methodology provides a novel approach to improve the effectiveness of market efficiency analysis.

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“…As a result, strategies for improving energy efficiency and economic evaluations for various types of existing buildings, including residential and non-residential structures, have been the subject of extensive studies [16,17]. One technique used for reducing building energy consumption and HVAC system optimization is through energy transition [17].…”

Section: Introductionmentioning

confidence: 99%

Balancing Sustainability and Comfort: A Holistic Study of Building Control Strategies That Meet the Global Standards for Efficiency and Thermal Comfort

Azzi,

Tabaa,

Chegari

et al. 2024

Sustainability

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The objective of energy transition is to convert the worldwide energy sector from using fossil fuels to using sources that do not emit carbon by the end of the current century. In order to achieve sustainability in the construction of energy-positive buildings, it is crucial to employ novel approaches to reduce reliance on fossil fuels. Hence, it is essential to develop buildings with very efficient structures to promote sustainable energy practices and minimize the environmental impact. Our aims were to shed some light on the standards, building modeling strategies, and recent advances regarding the methods of control utilized in the building sector and to pinpoint the areas for improvement in the methods of control in buildings in hopes of giving future scholars a clearer understanding of the issues that need to be addressed. Accordingly, we focused on recent works that handle methods of control in buildings, which we filtered based on their approaches and relevance to the subject at hand. Furthermore, we ran a critical analysis of the reviewed works. Our work proves that model predictive control (MPC) is the most commonly used among other methods in combination with AI. However, it still faces some challenges, especially regarding its complexity.

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Energy efficiency in residential and non-residential buildings: Short-term macroeconomic implications

Cited by 15 publications

References 53 publications

RETRACTED: An empirical investigation of the impact of renewable and non-renewable energy consumption and economic growth on climate change, evidence from emerging Asian countries

RETRACTED: An empirical investigation of the impact of renewable and non-renewable energy consumption and economic growth on climate change, evidence from emerging Asian countries

Energy Performance in Residential Buildings as a Property Market Efficiency Driver

Balancing Sustainability and Comfort: A Holistic Study of Building Control Strategies That Meet the Global Standards for Efficiency and Thermal Comfort

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