Building Energy Codes: Reviewing the Status of Implementation Strategies in the Global South

Author(s):  
Tariene Gaum ◽  
Jacques Laubscher

The public understanding of climate change, methods, mitigation, adaptation and the reason behind it have been investigated in developed countries. The current knowledge levels in the Global South remains limited, this while countries forming part of the Global South are more vulnerable to resultant effects of global warming. This requires the urgent attention by both citizens, who lack relevant information as well as decision makers lacking environmental literacy to establish long-term sustainable strategies. With just 9 years left, the probability of achieving the Sustainable Development Goals (SDGs), is unlikely and will require the complete redevelopment of the building sector. Focusing on the built environment, this paper uses contemporary definitions of the Global South to establish the contribution, significance and lack of energy efficiency mechanisms in the face of climate change. A combination of literature, desk research and data gathering from various sources are employed to establish the contribution of the Global South built environment to climate change. Using Carbon Dioxide (CO₂) emissions, 2050 urban population figures and distinctive climatic regions as basis, this study selected the largest role players to establish the status, extent and efficacy of building energy codes. The review point towards a built environment lacking the necessary building energy codes, with approximately 47% of selected Global South countries not implementing any form of building energy efficiency regulations or related policies. As part of the recommendations, Global South countries lacking the necessary regulations are encouraged to revise, update or adopt possible best practice standards from relevant countries that implement mandatory building energy codes. This study aims to address the gap in knowledge, establish a way forward and facilitate a larger implementation of building energy codes and strategies in the Global South

2016 ◽  
Vol 106 (10) ◽  
pp. 2867-2894 ◽  
Author(s):  
Arik Levinson

Regulations governing the energy efficiency of new buildings have become a cornerstone of US environmental policy. California enacted the first such codes in 1978 and has tightened them every few years since. I evaluate the resulting energy savings three ways: comparing energy used by houses constructed under different standards, controlling for building and occupant characteristics; examining how energy use varies with outdoor temperatures; and comparing energy used by houses of different vintages in California to that same difference in other states. All three approaches yield estimated energy savings significantly short of those projected when the regulations were enacted. (JEL Q48, Q51, Q52)


Buildings ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 88
Author(s):  
Shobhit Chaturvedi ◽  
Elangovan Rajasekar ◽  
Sukumar Natarajan

Operational uncertainties play a critical role in determining potential pathways to reduce the building energy footprint in the Global South. This paper presents the application of a non-dominated sorting genetic (NSGA II) algorithm for multi-objective building design optimization under operational uncertainties. A residential building situated in a mid-latitude steppe and desert region (Köppen climate classification: BSh) in the Global South has been selected for our investigation. The annual building energy consumption and the total number of cooling setpoint unmet hours (h) were assessed over 13,122 different energy efficiency measures. Six Pareto optimal solutions were identified by the NSGA II algorithm. Robustness of Pareto solutions was evaluated by comparing their performance sensitivity over 162 uncertain operational scenarios. The final selection for the most optimal energy efficiency measure was achieved by formulating a robust multi-criteria decision function by incorporating performance, user preference, and reliability criteria. Results from this robust approach were compared with those obtained using a deterministic approach. The most optimal energy efficiency measure resulted in 9.24% lower annual energy consumption and a 45% lower number of cooling setpoint unmet h as compared to the base case.


2018 ◽  
Vol 191 ◽  
pp. 127-134 ◽  
Author(s):  
Meredydd Evans ◽  
Sha Yu ◽  
Aaron Staniszewski ◽  
Luting Jin ◽  
Artur Denysenko

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