For the first time, U.S. wind and solar production in March exceeded 10% of total electricity generation, based on March data in EIA’s Electric Power Monthly.
The record contribution for non-hydro renewables comes amid surging installations of both wind and solar in the US, with 14.8GW of solar and 8.2GW of wind added in 2016. On an annual basis, wind and solar made up 7% of total U.S. electric generation.
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Posted in Data, Solar, Wind
The Dubai Electricity and Water Authority (DEWA) will build the first hydroelectric power station in the GCC. DEWA will build a 250-MW pumped storage facility powered by solar PV.
HE Saeed Mohammed Al Tayer, MD and CEO of DEWA, announced the project. HH Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai was also present.
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A new method to extract data tables from PDF files is introduced. Most of the data scraping tools available are browser-based, manual in nature, and limited to one table at a time. A solution is outlined to extract multiple tables at once that combines the R programming language with the open-source Java program Tabula. The result is a convenient method that treats documents as databases.
The ability to train a machine to extract data tables from PDF files has several benefits:
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Technology progress is a key to solar growth and pricing. By extension, the ability to model technology progress is essential to understanding future energy supply and demand.
Solar innovation is widespread. Examples include solar cell efficiency, module manufacturing, and learning innovations with solar system installation and operation. Solar pricing and growth are also supported by innovations in enabling technology, such as battery storage, smart grids and electric vehicles.
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A common task in spatial data analysis is extracting SpatialPoints inside a set of polygons or buffer zones. Analysts can use standard GIS tools to extract a set of points within an area of interest using manual “point-and-click” routines. This method is easy, but will probably prove impractical, especially in cases involving big data. The alternative is to train a machine to automatically extract the points in a polygon or buffer zone. This post achieves that task and presents a case-study with R code.
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The Dubai Electricity and & Water Authority (DEWA) just completed a tender for 100 MW of solar PV, and the delivered power system price is an amazingly low $0.059 / kWh.
Typically, the leveled cost of energy for solar PV is between $0.085 – $0.11 / kWh for GCC countries given solar irradiance, use of high efficiency panels, and cost competitive engineering. The low end of this range is best suited for vertically integrated OEMs with EPC services, or IPPs with scale in equipment purchasing who buy modules close to the cost of goods sold. But IPPs with low construction costs are making their mark.
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The economics for solar energy in Qatar are challenged by some of the lowest natural gas prices on Earth, combined with a local and subsidized electricity tariff with retail power prices of $0 to $27.40/MWh, commercial prices of $24.66 to $41.10/MWh, and industrial power prices of $19.18/MWh.
Notwisthstanding, there is still a solid business case for solar energy in Qatar given the rapid decline in capital costs since 2009, and the ability to generate revenues from displaced domestic gas demand that results following the introduction of renewable energy capacity.
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The popularity of R is rapidly increasing and is well on its way to being a top 10 programming language. The TIOBE index is a standard indicator of the popularity of all programming languages. The TIOBE index confirms that a subset of languages – those for computational statistics and data analysis – are gaining increased attention. The clear winner of the pack is the open source programming language R.
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German renewable energy output became the country’s most important power source for the first time this year, according to Agora Energiewende.
Energy policy in Germany has entered a new phase with nuclear power being permanently phased out. The old controversies are a thing of the past: there is a broad social and cross-party consensus concerning long-term political and energy goals. It is no longer a question of whether the energy system will be overhauled in favour of renewables, but how to go about doing this.
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Sources: IAEA, EIA, Bloomberg New Energy Finance
Wind and solar capacity are expanding rapidly and each is well on track to pass nuclear power capacity. Advocates of nuclear energy have long been predicting its renaissance, but the installation of nuclear capacity appears to be stalled with little to no change in recent years. Wind energy, by contrast, will have more capacity installed than nuclear by 2015 and solar energy capacity is likely to pass nuclear prior to 2020.
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A common question concerning the safety of photovoltaic (PV) power systems is the impact of reflected sunlight. PV modules have the potential to impact neighboring structures or activities, notably aviation. It is important to know where the reflected light will go and what the intensity of the light will be at any point in time.
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Inverter Cost Components; GTM Research
Inverters are key components in any photovoltaic (PV) power system. Inverters convert direct current (DC) to alternating current (AC). They control power factor (e.g. reactive power) and ensure power output quality aligns with downstream equipment specs. And finally, they play an essential role in the protection, operation and communication philosophy of the solar power plant.
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The business case for renewable energy and CO2 reduction is changing as carbon tracking and court cases shift focus from carbon emitters to the ultimate producers of coal, oil and natural gas … to the “carbon majors.”
A 2013 study published in the journal Climatic Change cites 90 companies by name and responsible for 63% of human induced greenhouse gas emissions since the beginning of the industrial revolution. National industrial plans (NIPs) and energy companies from the US and Europe dominate the list with familiar names like ChevronTexaco, ExxonMobil, Saudi Aramco, British Coal, and RWE.
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Aerosol Optical Depth (AOD) defines the degree to which aerosols prevent the transmission of sunlight by absorption or scattering. AOD is measured using an integrated extinction coefficient over a vertical column of air. The extinction coefficient can be used to analyze solar extinction and the performance of solar power systems as a function of location and time.
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Posted in Animation, Data, Dust, Meteorology, Modeling, Qatar RE, R Data Import, R Graphics, Resource Assessment, Saudi Arabia, Solar, Spatial Analysis