This study presents an assessment of the feasibility of implementing a hybrid renewable energy-based electric vehicle (EV) charging station at a residential building in Tripoli, Libya. Utilizing the advanced capabilities of HOMER Grid software, the research evaluates multiple scenarios involving combinations of solar and wind energy sources integrated with energy storage and the utility grid. This analysis provides a novel approach to enhancing urban energy systems with renewable technologies in a region traditionally reliant on fossil fuels. Key contributions of this study include the demonstration of an innovative integration strategy that combines solar and wind power with battery storage to ensure a reliable and efficient energy supply for EV charging. Furthermore, the study addresses the practical implications for local energy policy, suggesting that such hybrid systems can significantly enhance energy security and support sustainable urban development. The authors studied five scenarios using HOMER. The results reveals that the annual total costs and payback periods are as follows: for Scenario 1 (wind/utility grid), the expenditure totals US $1,554,416 and payback period of 4.8/5.8 years; for Scenario 2 (solar/wind/Utility grid), the amount is US $1,554,506 and payback period of 4.8/5.8 years; and for Scenario 3 (solar/wind/storage/utility grid), it escalates slightly to US $1,554,731, all predicated on the utility grid tariffs and payback period of 4.8/5.8 years. Furthermore, in Scenario 4 (solar/utility grid), the annual total cost is significantly reduced to US $30,589 and a payback period of 8.1/14.3 years, while Scenario 5 (solar/storage/utility grid 

A smart home is a technologically equipped residence that proactively observes its residents and offers various services. It has emerged as a potential solution to support independent living for people with disabilities and older adults, while also relieving the burdens on family caregivers and healthcare providers. A fundamental aspect of smart homes is their capability to monitor daily living activities and ensure residents' safety by detecting changes in their routines. With the advancements in technology, modern smart homes are furnished with numerous low-power sensors, radios, and embedded processors that collaboratively process data to assess the home's state and the behaviors of its occupants. This article delves into the sensor technology employed in smart homes, with a particular focus on direct environment sensing and infrastructure-mediated sensing. It explores the strengths and limitations of different sensor technologies and discusses the challenges and opportunities from technical, and ethical perspectives.

This research aims to develop a computer model of a hybrid renewable energy system that can operate independently for a faculty of engineering of Karabuk university, located in Turkey. The hybrid system consists of several components, such as Photovoltaic (PV) panels, wind turbines, diesel generator, and battery storage system as a backup. The primary purpose of this system is to meet the energy needs of a university building. Different combinations of the hybrid system were examined using HOMER software to determine the most cost-efficient solution based on the net present cost. Following the analysis of multiple combinations, the optimal hybrid system was determined, which consists of a 500kW PV system, wind turbines with a total capacity of 7.5 MW, and a 327Ah, 15.7 kw/h battery storage system, diesel generator of 2000 kw. The overall cost of the system $693,000,000, the project lifespan is 25 years.

This paper describes a standalone hybrid renewable energy system (HRES) design for Al-Faowar village located at West Libya. The hybrid system comprises of Photovoltaic (PV), wind turbines, diesel generators and battery storage system. The system was design the primary load of 170 households, three commercial and government buildings, one school; and one mosque in the village. Numerous combinations of the hybrid system were assessed in HOMER to find the optimal combination based on the Net Present Carbon Dioxide (CO2) emissions. The results of the most optimal hybrid system combinations for Al-Faowar village was 6,000 kW of PV system, 3,750 kW of wind power system, 500 kW of diesel generator and 1,900 Ah of battery storage syste hybrid system in this study shows promising results that capable to meet the load demand via renewable energy generations with minimal diesel generator running time. This paper describes a standalone hybrid renewable energy system (HRES) design for Faowar village located at West Libya. The hybrid system comprises of Photovoltaic (PV), wind turbines, diesel generators and battery storage system. The system was design the primary load of 170 households, three commercial and government buildings, one school; and one mosque in the village. Numerous combinations of the hybrid system were assessed in HOMER to find the optimal combination based on the Net Present Cost (NPC) alongside Carbon Dioxide (CO2) emissions. The results of the most optimal hybrid system Faowar village was 6,000 kW of PV system, 3,750 kW of wind power system, 500 kW of diesel generator and 1,900 Ah of battery storage system hybrid system in this study shows promising results that capable to meet the load demand via renewable energy generations with minimal diesel generator running time.