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Reports

3 result(s) found

Beyond Technology: Demand-Side Solutions for Climate Change Mitigation

Text
English
Authors:
Felix Creutzig, Blanca Fernandez, Helmut Haberl,
Radhika Khosla, Yacob Mulugetta, Karen C. Seto

The assessment literature on climate change solutions to date has emphasized technologies and options based on cost-effectiveness analysis. However, many solutions to climate change mitigation misalign with such analytical frameworks. Here, we examine demand-side solutions, a crucial class of mitigation options that go beyond technological specification and cost-benefit analysis. To do so, we synthesize demand-side mitigation options in the urban, building, transport, and agricultural sectors. We also highlight the specific nature of demand-side solutions in the context of development.

Understanding the contextual influences of the health outcomes of residential energy efficiency interventions: realist review

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English
Authors:
Nicola Willand, Cecily Maller, Ian Ridley

Residential energy efficiency interventions are complex social and construction programmes that may benefit health, yet the interactions between the material improvements, health and health-related outcomes, and householder responses are not well understood. While indoor winter warmth and householder satisfaction have been identified as the key mediators for physiological, mental and social health outcomes, this paper explores how programme contexts may have influenced the outcomes. This review revealed that common target populations were low income households, children and the elderly.

Implementing the cost-optimal methodology in EU countries

Text
English
Authors:
Bogdan Atanasiu,
Ilektra Kouloumpi,
Kirsten Engelund Thomsen,
Søren Aggerholm,
Andreas Enseling,
Tobias Loga,
Klemens Leutgöb,
Johannes Rammerstorfer,
Konrad Witczak

This study presents three cost-optimal calculations. The overall aim is to provide a deeper analysis and to provide additional guidance on how to properly implement the cost-optimality methodology in Member States. Without proper guidance and lessons from exemplary case studies using realistic input data (reflecting the likely future development), there is a risk that the cost-optimal methodology may be implemented at suboptimal levels.

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