Lecture

Energy Efficiency in Buildings

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In course

HUM-123(b): Global issues: energy B

Le cours abordera les grandes problématiques technologiques et socio-économiques liées à la transition énergétique, ainsi que les perspectives et barrières à l'établissement d'un système énergétique durable. ...

Description

This lecture covers the concept of energy efficiency in buildings, focusing on reducing energy consumption while maintaining the same level of service. It discusses the challenges and solutions related to energy efficiency in both residential and industrial buildings, emphasizing the importance of technologies, processes, and behaviors that can lead to significant energy savings. The lecture also explores the impact of energy efficiency measures on reducing greenhouse gas emissions and the potential for synergies between different industries to optimize energy use.

Instructors (2)

Tuong-Van Nguyen

Teaching & PhD Courses Energy conversion and renewable energy ME-409 This course presents an overview of (i) the current energy system and uses (ii) the main principles of conventional and renewable energy technologies and (iii) the most important parameters that define their efficiency, costs and environmental impacts. The Energy Transition : challenges and opportunities HUM-293 This course explores the energy transition from a system based on fossil fuels to a model based o

Selin Yilmaz

Teaching & PhD Past EPFL PhD Students as codirector Matteo Barsanti Courses The Energy Transition : challenges and opportunities HUM-293 This course explores the energy transition from a system based on fossil fuels to a model based on decarbonised energy sources, sobriety and efficiency, and highlights the main technological, socio-economic and geopolitical issues involved.

Official source

Related concepts (32)

Greenhouse gas emissions

Greenhouse gas emissions (abbreviated as GHG emissions) from human activities strengthen the greenhouse effect, contributing to climate change. Carbon dioxide (), from burning fossil fuels such as coal, oil, and natural gas, is one of the most important factors in causing climate change. The largest emitters are China followed by the US, although the United States has higher emissions per capita. The main producers fueling the emissions globally are large oil and gas companies.

Greenhouse gas inventory

Greenhouse gas inventories are emission inventories of greenhouse gas emissions that are developed for a variety of reasons. Scientists use inventories of natural and anthropogenic (human-caused) emissions as tools when developing atmospheric models. Policy makers use inventories to develop strategies and policies for emissions reductions and to track the progress of those policies. Regulatory agencies and corporations also rely on inventories to establish compliance records with allowable emission rates.

Greenhouse gas

Greenhouse gases are those gases in the atmosphere that raise the surface temperature of planets such as the Earth. What distinguishes them from other gases is that they absorb the wavelengths of radiation that a planet emits, resulting in the greenhouse effect. The Earth is warmed by sunlight, causing its surface to radiate heat, which is then mostly absorbed by water vapor (), carbon dioxide (), methane (), nitrous oxide (), and ozone (). Without greenhouse gases, the average temperature of Earth's surface would be about , rather than the present average of .

Greenhouse gas monitoring

Greenhouse gas monitoring is the direct measurement of greenhouse gas emissions and levels. There are several different methods of measuring carbon dioxide concentrations in the atmosphere, including infrared analyzing and manometry. Methane and nitrous oxide are measured by other instruments. Greenhouse gases are measured from space such as by the Orbiting Carbon Observatory and networks of ground stations such as the Integrated Carbon Observation System.

Mathematical optimization

Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries.

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