Rising focus on the increasing awareness of existing solar systems, ambitious plans announced on the amount of solar power generation over the next few years, cancellation of subsidies over a considerable period and their reintroduction, and of course, the “solar scam” are some of the issues at the forefront of green energy in India.

The government wants to raise solar power generation capacity from the current 8 GW to 100 GW by 2022. How will such an aggressive solar programme impact India’s electricity distribution companies? How will it affect the cost, availability and quality of electricity for consumers? Does the pace of solar adoption being pushed by the government serve the public interest?

As demand for air conditioning climbs, some see a solution in the very thing that makes us sweat: the Sun.

Original Source

There is considerable uncertainty over the effect of wind power on the operation of power systems, and the consequent greenhouse gas (GHG) emissions displacement; this is used to project emissions reductions that inform energy policy. Currently, it is approximated as the average emissions of the whole system, despite an acknowledgement that wind will actually displace only the generators operating on the margin.

The main objective of this paper is to develop a three phase genetic algorithm to find the shortest path routing in solar poweredWireless Sensor Networks (WSNs), and thereby reducing the energy loss and the time consumed in the communication between various nodes (sensors) of the same. A three phase hybrid genetic algorithm is proposed for solving the shortest Path (SP) routing problem. The performance of the proposed algorithm is compared with Dijkstra, Munemoto, and Ahn algorithms.

Since the 1970s, installed solar photovoltaic capacity has grown tremendously to 230 gigawatt worldwide in 2015, with a growth rate between 1975 and 2015 of 45%. This rapid growth has led to concerns regarding the energy consumption and greenhouse gas emissions of photovoltaics production. We present a review of 40 years of photovoltaics development, analysing the development of energy demand and greenhouse gas emissions associated with photovoltaics production. Here we show strong downward trends of environmental impact of photovoltaics production, following the experience curve law.

Low-carbon electricity generation, i.e. renewable energy, nuclear power and carbon capture and storage, is more capital intensive than electricity generation through carbon emitting fossil fuel power stations. High capital costs, expressed as high weighted average cost of capital (WACC), thus tend to encourage the use of fossil fuels. To achieve the same degree of decarbonization, countries with high capital costs therefore need to impose a higher price on carbon emissions than countries with low capital costs.

With prices for renewables dropping, many countries in Africa might leap past dirty forms of energy towards a cleaner future.

Original Source

Reanalysis models are rapidly gaining popularity for simulating wind power output due to their convenience and global coverage. However, they should only be relied upon once thoroughly proven. This paper reports the first international validation of reanalysis for wind energy, testing NASA's MERRA and MERRA-2 in 23 European countries. Both reanalyses suffer significant spatial bias, overestimating wind output by 50% in northwest Europe and underestimating by 30% in the Mediterranean.

The Renewable Purchase Obligation mechanism and the trade of Renewable Energy Certificates were introduced to promote investment in renewable energy. However, the RPO requirement has not been met in many cases in India, which has resulted in low trading in RECs. While there are a few instances of state electricity regulatory commissions imposing penalties, a uniform enforcement of this mechanism by imposing specific penalties on non-complying entities can be recommended.