Retscreen international financial modeling software

Figure 3 shows the electricity consumption of the isolated system. The data source is the installed metering equipment. If we were to use the electricity consumption data from our Option A example, we can see in the table below the graph that the data corresponds exactly to the values we obtained when modelling the energy savings in the lights tool on the Energy page.

The savings here match the 9, kWh we found previously under Option A. Note also that we can overlay data collected about the retrofit directly onto a graph of the measured data. We use these methods when we cannot isolate the energy consumption measurement of a single piece of equipment. We choose Option C or D depending on whether or not base-year data is available. We use Option C when we have access to energy consumption data for the whole or sub-facility.

This data can come from meters or sub-meters, invoices or data from the utility. We use this data to assess the energy performance of the whole building.

We establish a base-year period through continuous measurement of energy use for the whole- or sub-facility. The measurement continues after the retrofit so that we can quantify the savings achieved over time. The owners have installed a new energy efficient heating system in the building and want to verify the energy savings. In RETScreen, the Performance Analysis Module is used to both collect the data we need and to deploy various comparison and normalization tools to determine energy savings.

Figure 6: The Data table with the natural gas fuel consumption and merged with the HDD from the weather table. Note that in addition to the energy consumption data, we need to collect data on the parameters which can influence the energy consumption. RETScreen calls these factors of influence and can include weather, occupancy, changes in production or anything else which could drive energy consumption.

In our example, weather, or more precisely, the heating-degree days HDD , is the primary factor of influence in this case. Once this is done, we can merge the HDD column into the natural gas table so that all of the data we need to normalize our fuel consumption is in one place.

After choosing the dependent and independent variables from the natural gas data table and the baseline duration, RETScreen generates a regression analysis along with several graphs. An X-Y scatter graph shows the dependent variable y as a function of the independent variable x and a time series graph show the evolution of the parameters over time.

The scatter graph is shown in Figure 7. Making non-routine adjustments i. RETScreen is able to handle such non-routine adjustments in the regression analysis, but the details of how to do so are the subject of a separate article.

To quantify the uncertainty associated with regression-based savings estimates, several statistical values need to be calculated. We are now in a position to use the baseline regression model to estimate the baseline energy consumption adjusted to the post-retrofit conditions. This estimated energy consumption can be compared to the actual energy consumption to estimate the energy savings of the project. This graph can be used directly to verify our savings under Option C. See Figure 9. Within the software, the user can create a new portfolio or open an existing file.

Additional facilities can easily be added to the portfolio database. Sub-portfolios can be created to allow for comparison across different facility types and geographic regions, and a mapping tool helps the user visualize assets across the globe. With a populated database, the user can enable a portfolio-wide analysis dashboard.

The dashboard can be configured to include the results of benchmark, feasibility and performance analysis for each individual facility in the portfolio. These results can then be used to report key metrics to various stakeholders. Skip to main content. Toggle navigation Menu Search form. Resource Library. Source: Natural Resources Canada.

Our software is also available in Professional mode on an annual subscription basis. Click here for more information. Be the first to learn about software updates and receive other RETScreen-related news. Sign up to receive communications and alerts by sending an e-mail to RETScreen nrcan-rncan.

You may unsubscribe at any time. RETScreen Expert , een geavanceerde premium versie van de software, is geheel gratis verkrijgbaar in de Viewer-modus. Dit intelligente softwareplatform voor besluitvorming stelt managers ook in staat om gemakkelijk de feitelijke prestaties van hun voorzieningen te meten en controleren en helpt zoeken naar additionele energiebesparende en productiemogelijkheden.

RETScreen adalah sistem Perangkat Lunak Manajemen Energi Bersih untuk efisiensi energi, energi terbarukan, dan analisis kelayakan proyek kogenerasi serta analisis kinerja energi berkelanjutan. RETScreen Expert , versi premium tingkat lanjutan dari perangkat lunak ini, tersedia dalam mode Penampil secara gratis.

RETScreen memberdayakan para profesional dan pengambil keputusan agar dapat dengan cepat mengidentifikasi, menilai, dan mengoptimalkan kelayakan teknis dan kelayakan keuangan proyek-proyek energi bersih.

Taka platforma inteligentnego oprogramowania ds. RETScreen ni mfumo wa Programu ya Usimamizi wa Nishati Safi wa matumizi bora ya nishati, nishati inayoweza kutumiwa tena na uchanganuzi wa mradi unaowezekana wa uzalishaji upya na hata pia uchanganuzi wa utendajikazi unaoendelea wa nishati. RETScreen Expert , toleo mahiri la kulipiwa la programu, linapatikana katika Hali ya mtazamaji bila malipo yoyote. RETScreen huwawezesha wataalamu na wafanya maamuzi kutambua, kufikia na kuboresha uwezekano wa kiufundi na wa kifedha wa miradi ya nishati safi haraka.