Smart Homes and Regions as Building Blocks for 100% Renewable Energy Globally

2019 ◽  
pp. 69-76
Author(s):  
Winfried Hoffmann
Keyword(s):  
Renewable Energy ◽  
Smart Homes ◽  
Building Blocks

scholarly journals ARTIFICIAL INTELLIGENCEINTERVENTION TO URBAN BUILDING RENEWABLE ENERGY MODELING INTERVENTION FOR ROBUST FLEXIBLE COMMUNITIES

2021 ◽  
Vol 9 (03) ◽  
pp. 314-321
Author(s):  
Sammar Z. Allam
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Power Plants ◽  
Energy Use ◽  
Model Simulation ◽  
Renewable Energy Sources ◽  
Energy Generation ◽  
Building Blocks ◽  
Positive Energy ◽  
Use Pattern

This research coveys a comparative analysis between Urban Building energy model (UBEM) generated by scholar, researchers, and professional in academia and industry while highlighting the reliable main components to manifest a successful and reliable UBEM technologies. Nevertheless, it consolidates distributed generation on building blocks rather than a whole district relying on renewable energy sources. It guides engineers through energy system model simulation on Openmodelica platform to feed green sustained communities. Moreover, energy use-pattern is mapped and analyzed by internet of things (IOT) technologies to fine-tune energy uses and refine use-pattern. Demonstrating artificial Intelligence (AI) algorithmto predict energy consumption can reflect on the amount of energy required for storage to cover energy needs. AI shapes a robust positive energy district (PED) through storinggenerated renewable solar or bio-energy to cover predicted energy use-pattern.Distributed -power-plant stations capacity to cover clusters using AI in predicting energy consumption consolidates on-site energy generation recommended by multiple International rating systems. AI-based Energy management plan guide engineers and planners to design distributed-power-plants of energy generation capacity lies between the actual energy need and a predicted scenario.

Multiphysics Test Bed for Renewable Energy Systems in Smart Homes

2013 ◽  
Vol 60 (3) ◽  
pp. 1235-1248 ◽  
Author(s):  
Christoph Molitor ◽  
Andrea Benigni ◽  
Alexander Helmedag ◽  
Kan Chen ◽  
Davide Cali ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Systems ◽  
Smart Homes ◽  
Test Bed ◽  
Renewable Energy Systems

scholarly journals SEAMS: an alternative techno-economic system to foster the sustainable development of renewable energy use in urban areas

2021 ◽  
Vol 2042 (1) ◽  
pp. 012087
Author(s):  
D Bourguignon ◽  
P Crépeaux ◽  
F Adam
Keyword(s):  
Sustainable Development ◽  
Renewable Energy ◽  
Economic System ◽  
Urban Areas ◽  
Energy Use ◽  
District Heating ◽  
Building Blocks ◽  
Economic Systems ◽  
The Sustainable Development ◽  
Heating And Cooling

Abstract To foster the sustainable development of renewable energy use in urban areas, we define an alternative, reciprocity-based, techno-economic system named SEAMS (“sharing energy amongst adjacent buildings”). We demonstrate its relevance through a statistical analysis of linear heat density across coastal cities from Northwestern mainland France, and a comparison of four implementations of three techno-economic systems within the perimeter of two adjacent building blocks, located in the city center of Lorient (Brittany). The SEAMS approach promises to address the multidimensional fragility issues currently surfacing with the conventional, market-based or redistribution-based, techno-economic systems, namely electricity and gas networks (EGN) or district heating and cooling networks (DHCN).

scholarly journals Blockchain outlook for deployment of IoT in distribution networks and smart homes

2020 ◽  
Vol 10 (3) ◽  
pp. 2787
Author(s):  
Heliasadat Hosseinian ◽  
Hossein Shahinzadeh ◽  
Gevork B. Gharehpetian ◽  
Zohreh Azani ◽  
Mahdi Shaneh
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Renewable Energy Sources ◽  
Large Body ◽  
Smart Homes ◽  
Distribution Networks ◽  
Energy Sources ◽  
Mining Machine ◽  
Small Scale ◽  
Smart Power

Nowadays, unlike depleting fossil fuel resources, the integration of different types of renewable energy, as distributed generation sources, into power systems is accelerated and the technological development in this area is evolving at a frantic pace. Thus, inappropriate use of them will be irrecoverably detrimental. The power industry will reach a turning point in the pervasiveness of these infinite energy sources by three factors. Climate changes due to greenhouse gas accumulation in the atmosphere; increased demand for energy consumption all over the world, especially after the genesis of Bitcoin and base cryptocurrencies; and establishing a comprehensive perspective for the future of renewable energy. The increase in the pervasiveness of renewable energy sources in small-scale brings up new challenges for the power system operators to manage an abundant number of small-scale generation sources, called microsources. The current structure of banking systems is unable to handle such massive and high-frequency transactions. Thus the incorporation of cryptocurrencies is inevitable. In addition, by utilization of IoT-enabled devices, a large body of data will be produced must be securely transferred, stored, processed, and managed in order to boost the observability, controllability, and the level of autonomy of the smart power systems. Then the appropriate controlling measures must be performed through control signals in order to serve the loads in a stable, uninterruptible, reliable, and secure way. The data acquires from IoT devices must be analyzed using artificial intelligence methods such as big data techniques, data mining, machine learning, etc. with a scant delay or almost real-time. These measures are the controversial issues of modern power systems, which are yet a matter of debate. This study delves into the aforementioned challenges and opportunities, and the corresponding solutions for the incorporation of IoT and blockchain in power systems, particularly in the distribution level and residential section, are addressed. In the last section, the role of IoT in smart buildings and smart homes, especially for energy hubs schemes and the management of residential electric vehicle supply equipment is concisely discussed.

Sign in / Sign up

Export Citation Format

Share Document