Investment Planning Methodology for Complex Urban Energy Systems Applied to a Hospital Site
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The paper describes a case study on the design of district energy infrastructure for the green-field project of the Vale de Santo Antonio (Lisbon, Portugal). The methodology is based on a novel framework built on the sequential integration of three softwar ...
To achieve the goals of the Paris Agreement on climate change, governments around the world must shift to renewable energy (RE) to drastically reduce their CO2 emissions within the next 10-30 years. The development of effective strategies for RE integratio ...
In energy policy, energy efficiency constitutes a central element in reducing domestic and, specifically, industrial en-ergy use. Unfortunately, the effectiveness of energy efficiency improvements in achieving its targets is known to be limited by rebound ...
The "Carbon Peaking and Carbon Neutrality" strategy of China has accelerated the process of industrial structure transformation of global energy-saving and environmental protection. With the international efforts to cope with climate change and the growing ...
The countries in Western Africa have the greatest potential for renewable energy generation in the world and are likely to be vulnerable to the adverse effects of climate change. Unfortunately, only a few of them have tapped into this potential, as non-ren ...
A proper assessment of technologies’ impact on energy consumption and GHG emissions is essential for designing an effective energy transition. In this regard, the modeling of an energy system is a great resource to identify valuable technologies. This pape ...
Governments are setting ambitious targets to tackle the issue of global warming by switching to renewable energy sources and reducing CO2 -emissions. For example, as announced in November 2020, Canada aims to achieve net zero GHG emissions by 2050. Large c ...
One of the main global goals is the reduction of the energy consumption and the most appropriate way for achieving this aim is to target one of most critical sectors, the residential. The selected technology for this work is the district energy network, wh ...
When it comes to residential buildings, there are several stochastic parameters, such as renewable energy production, outdoor air conditions, and occupants’ behavior, that are hard to model and predict accurately, with some being unique in each specific bu ...
Occupant behavior is a highly stochastic phenomenon, which is known as a key challenge for the optimal control of residential energy systems. With the increasing share of renewable energy in the building sector, the volatile nature of renewable energy is a ...