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Home energy management system (HEMS) is a section of demand response (DR), that plays an imperative role in the residential areas towards appliance management for the enhancement of energy efficiency and grid stability. In this article, a methodical home energy management system (Methodical-HEMS) was proposed based upon K-means, a machine learning algorithm and satin bowerbird optimization (SBO) algorithm to optimize the scheduling of appliances within a 24-h period. The K-means algorithm is used for defining the discrete comfort window (DCW) for schedulable appliance, while SBO algorithm is used for defining the suitable time slots for the schedulable appliance to operate within the DCW. Methodical-HEMS is considered for a single home with the day ahead time of use pricing, to minimize the overall electricity bill (EB) and to satisfy the consumer’s comfort. The performance of Methodical-HEMS is evaluated with other heuristic algorithms, including a particle swarm optimization algorithm, grey wolf optimization algorithm, artificial bee colony algorithm and genetic algorithm. The simulation outcomes demonstrate that, the SBO based HEMS algorithm effectually reduces the overall EB from ₹ 29.14/day to ₹ 22.84/day, minimizes the peak-to-average ratio by 10.28% and remains uncompromising on the consumer’s comfort.

Exploring destinations that are of cultural importance is becoming popular among tourists of all age groups. The unique blend of culture and heritage associated with such sites make them particularly interesting destinations to visit. Despite being relatively new, the idea of World Heritage Sites as a brand is gaining popularity among tourists. UNESCO designates certain locations as World Heritage Sites, and as such, they have come to represent both the natural and cultural heritage of the entire world. As a result, they are currently employed to represent the brand of a certain nation or region. Additionally, they are utilized to promote tourism, generate revenue, and increase awareness among the public of the value of their conservation. This research presents a conceptual model through identification of various factors that influence the development of heritage and cultural tourism worldwide. It has been identified that the enhancement of brand value, destination reputation, tourist experience, marketing, and promotional activities stand as key factors contributing to the development of heritage tourism. The enhancement of these will ultimately pave the way for the development of heritage tourism.

Abstract This study evaluates improvement in energy efficiency of an air conditioned building block employing energy conservation measures (ECMs) recommended by Indian Energy Conservation Building Code 2007 (ECBC) through a prescriptive route. First part evaluates energy savings by implementing five ECMs of envelope independently and two combinations of ECMs keeping constant thermostat setting throughout the year. In the second part of the study same ECMs are considered to the subject building model allowing thermostat settings as per thermal adaptation resulting from change in outdoor temperature. Actual measurements were taken and simulation model was fine-tuned. Annual energy consumption of building is used to evaluate the effect of individual ECMs and their combinations on both part of the study, i.e. fixed thermostat and adaptive thermostat settings. The simulation result shows that together with combination of all ECMs recommended by ECBC, small buildings can save up to 40% energy consumption as compared to buildings built with conventionally practised specifications of India. Effect of thermal adaptation itself offers up to 16% energy saving opportunity in small buildings considering adaptive thermostat settings. The potential of energy conservation through ECMs suggested by ECBC and adaptive set point gets significantly reduced for large size buildings having high internal heat gains.

Garhwal Himalaya in northern India has emerged as one of the most prominent hot spots of landslide occurrences in the Himalaya mainly due to geological causes related to mountain building processes, steep topography and frequent occurrences of extreme precipitation events. As this region has many pilgrimage and tourist centres, it is visited by hundreds of thousands of people every year, and in the recent past, there has been rapid development to provide adequate roads and building infrastructure. Additionally, attempts are also made to harness hydropower by constructing tunnels, dams and reservoirs and thus altering vulnerable slopes at many places. As a result, the overall risk due to landslide hazards has increased many folds and, therefore, an attempt was made to assess landslide susceptibility using 'Weights of Evidence (WofE)', a well-known bivariate statistical modelling technique implemented in a much improved way using remote sensing and Geographic Information System. This methodology has dual advantage as it demonstrates how to derive critical parameters related to geology, geomorphology, slope, land use and most importantly temporal landslide distribution in one of the data scarce region of the world. Secondly, it allows to experiment with various combination of parameters to assess their cumulative effect on landslides. In total, 15 parameters related to geology, geomorphology, terrain, hydrology and anthropogenic factors and 2 different landslide inventories (prior to 2007 and 2008-2011) were prepared from high-resolution Indian remote sensing satellite data (Cartosat-1 and Resourcesat-1) and were validated by field investigation. Several combinations of parameters were carried out using WofE modelling, and finally using best combination of eight parameters, 76.5 % of overall landslides were predicted in 24 % of the total area susceptible to landslide occurrences. The study has highlighted that using such methodology landslide susceptibility assessment can be carried out in vast stretches of Himalaya in short time in order to assess the impact of development as well as climate change/variability. The resultant map can play a critical role in selecting areas for remedial measures for slope stabilisation as well planning for future development of the region.

Besides being limited in quantity, conventional energy sources also emit toxic gases. The Photovoltaic (PV) Solar System is one of the most energizing green energy sources. Around the globe, solar panels are being installed on barren land as well as on the roofs of buildings to generate electricity. An education institute in northern India recently took a step in this direction by installing a grid-tied 100 kWp solar power plant. The installed PV panels are tilted at an angle of 30° and mounted on the roof of the building. The actual PV plant system’s performance differs from the performance under laboratory conditions. Hence, performance evaluation of real outdoor plants becomes essential, especially when the plant is commissioned in different situations, such as roof-mounted systems. Many softwares can estimate the plant’s performance evaluation, but their reliability is not yet proven. This paper examines the performance evaluation of grid-tied PV plants between January 2019 and December 2019 in accordance with the IEC 61724 standard. Moreover, the results of the actual plant have also been compared with the results from the PV*Syst software that simulates the real-time behavior of the plant. Further, in order to evaluate the power plant’s performance, this paper analyzes the various parameters of the PV plant, including reference yield, final yield, and performance ratio of the PV plant. An evaluation of the module’s performance indicates that it has produced 101.57 MWh of energy over 1 year, with a performance ratio of 0.60. It is evident from the comparative analysis that rooftop solar panels are an economically viable and technologically feasible means of providing electricity in the northern parts of India. By taking such measures, the institutes or offices can protect the environment and save money by becoming microgrids. The proposed project provides a roadmap for installing rooftop photovoltaic plants in populated cities without occupying additional land.

AbstractThis assessment by the Environmental Effects Assessment Panel (EEAP) of the United Nations Environment Programme (UNEP) provides the latest scientific update since our most recent comprehensive assessment (Photochemical and Photobiological Sciences, 2019, 18, 595–828). The interactive effects between the stratospheric ozone layer, solar ultraviolet (UV) radiation, and climate change are presented within the framework of the Montreal Protocol and the United Nations Sustainable Development Goals. We address how these global environmental changes affect the atmosphere and air quality; human health; terrestrial and aquatic ecosystems; biogeochemical cycles; and materials used in outdoor construction, solar energy technologies, and fabrics. In many cases, there is a growing influence from changes in seasonality and extreme events due to climate change. Additionally, we assess the transmission and environmental effects of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is responsible for the COVID-19 pandemic, in the context of linkages with solar UV radiation and the Montreal Protocol.

The development of collective and industrial energy systems, based on wood biomass, knows a significant increase since the end of the 90’s in France, with more than 6000 power plants and heating plants developed currently. Because these systems are built for a minimal duration of 30 years, it is relevant to assess the availability of wood resources according to the potential impacts of global warming on five tree species mainly used in such a supply chain. The assessment of the potential spatial distribution of the suitable areas of these trees in 2050, by using the IPCC (Intergovernmental Panel on Climate Change) RCP6.0 scenario (Representative Concentration Pathway), shows an average decrease of 22% of the plots in comparison with the current situation. The results also point out that mountain areas would maintain a high probability of the development of four tree species. The assessment of the Net Primary Productivity (NPP) underlines a potential decrease for 93% of the plots in 2050, and an increase of this parameter in mountain areas. According to these assumptions, the proposed ecosystem based methodology can be considered as a prospective approach to support stakeholders’ decisions for the development of the wood energy supply chain.