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Keva Magera
SolarAssistant is software used to monitor and control your solar system. It is designed to run on a Raspberry Pi that is plugged into the solar inverter and optionally a battery BMS. The idea is that you leave the PI running permanently. The application can be accessed from a web browser or the Android/iPhone app via local network or the internet.
You need to make the conf file in the share/mosquito directory. That is where you inverter broker IP goes.
-assistant.io/images/help/home_assistant/file-edit-browse9-e3f6ebd080d9b97a629a0e9917fe603a.png?vsn=d719555 12.5 KB
My current solar system consists of 20 pieces of Hyundai Shingled 430Wp panels and a Growatt 9000TL3-X inverter. Total system peak power is 8.6KWp.
More complicated setup is then needed in the Home Assistant end. For this, we need to add a new bridging configuration to Home Assistant systems /share/mosquitto/solar_assistant.conf file either by using File Editor or SSH terminal (I used the SSH).
Hi, After trying to get Remote VeConfigure working (Enabled two way comms etc) to install the ESS assistant on the Multi RS Solar 48/6000 I am now getting mixed messaging about if this is even possible:
At the local dealer I explained I already have installed an ET112 energy meter for measuring AC solar and an ET340 energy meter and the main grid feed-in to be able to allow for phase compensation (see 7.2. Single-phase ESS in a three-phase system in the ESS manual). According to the dealer this should be possible.
I am hoping with the aid of Node Red (rather than Home Assistant) to deign some automations for managing the solar PV/battery system and figured it made sense to read and send instructions via the MQTT directly with Node Red, instead of via HA.
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We have a dedicated team of solar professionals standing by to help you navigate the world of solar with ease. From selecting the perfect solar kit to installation and beyond, we provide support and expertise at every step of the journey.
Indeed, these have been designed. _solar_panel Nobrainer could also draw warmed source air for an air to water heat pump from around the solar panels, given that the panels were in a 'greenhouse' like box.
Reducing the lift temperature (t1-t2) of your heating water will increase the performance of the heat pump. It is possible to use solar or wood fire energy to do so. Performance is t2/(t1-t2) e.g. _of_performance#Theoretical_performance_limits It is possible that the solar system can heat the water high enough to bypass the heat pump during sunny periods. A buffer tank can help smooth out the added thermal energy.
Forecast.Solar relies on data provided by the EU Photovoltaic geographical information system and your solar panels must be in a location that is covered by this tool. Data is available for almost the entire world.
To use the Forecast.Solar integration, it will need some information about yoursolar panel system: latitude, longitude, declination, azimuthand total modules power.
The azimuth (in degrees on a 360 scale);Is the direction in which the front surface of your solar panels are facingtowards. As a full circle is 360, a value of 0 is facing North, 90 East,180 South and 270 is facing West (or any value in between).
The total modules power (in Watt peak);Each solar panel, in a solar panel system, has a maximum power peak productionvalue. In order to deliver matching estimations for you system, Forecast.Solarneeds to be aware of the total maximum peak power your system can produce.Add up the maximum peak power (in Watts!) of all your panels for thisvalue.
If you have more than one plane of solar modules with different properties (e.g. several sides of the roof on different strings or on different buildings, with different directions or declinations) you can add the integration multiple times setting parameters accordingly. You can then use template sensors to combine the data, e.g. adding up production on different planes into one value to base your planning on.
Although other solar work in dialysis has been reported, this work has been restricted to the use of solar-heated exchange mechanisms to preheat dialysate (19). A second description, by Fresenius Medical Care (Australia) (20), refers to our Geelong project.
This report describes the first full 12-seasonal month outcome data of a pilot program in Geelong (latitude 38 S, mean daily exposure=4.2 kWh/m2). A solar insolation comparison chart for US cities is provided by the National Renewable Energy Laboratory (21); note that Geelong is comparable with St. Louis, Missouri (38 N). US solar insolation can also be Internet-assessed by geographical location (22).
To determine the mean total power draw, we first separately metered and serially measured the independent draws of each dialysis machine plus RO pairing. The mean weekly expected power draw and power generation capacity can be estimated by knowing (1) the expected range of power use per equipment pair (in our feasibility study, each machine and RO pairing consumed a mean of 1.289 kWh/operating h per pair); (2) the average weekly hours of operation in the four-station HTU (this number must include the predialysis run-up, prime phase, and postdialysis rinse and sterilize phase); and (3) the mean expected annual regional solar exposure (daily, weekly, monthly, and annual tables are available for any worldwide geographical coordinates from regional meteorological services or on the Internet) (14).
To facilitate simple assessment, the HTU was rewired, segregating the four-machine/RO pairs and isolating their electrical circuits from all other electrical power draws in the building. This separation permitted the exact power draw of only the dialysis-specific electrical equipment to be metered and recorded. Concurrently, the power generated by the solar array is metered and recorded at the inverter before being directed to the national grid. This simplified meter system has permitted weekly tracking of all grid-donated power and power drawn specifically for dialysis-related use.
We determined to test the potential for solar-assisted HD, choosing solar above wind power, because solar radiation is silent and as it penetrates cloud, more dependable. Wind is noisy and unpredictable.
Although clearly, this concept remains a distant goal, this small pilot study has already shown us that solar-assisted dialysis is neither particularly difficult to design and install nor prohibitively expensive.
Charges for grid-provided power and reimbursement rates for grid-donated power from alternative sources such as solar or wind will vary from place to place and power company to power company. Thus, decisions can only be made about financial viability with local knowledge of these factors. In addition, solar exposure varies depending on the geographical location. However, because solar exposure does not necessarily equate to or depend entirely on sun exposure, many may be surprised to find significant solar exposure at their home location, despite the apparent lack of a hot sun weather pattern.
We would encourage the dialysis community to assess the solar exposure records at their home geographical position. These exposure levels can be simply and quickly determined using the Internet (24). After providing local latitude and longitude coordinates, tables and graphs can be obtained for the mean daily, weekly, monthly, or annual solar exposure. Knowing the expected local solar exposure, available solar arrays, local purchase and installation costs, power rates charged by local utilities, any predicted price changes, and local reimbursement rates for grid-contributed power, a simple calculation can determine whether solar-assisted power might be financially viable. Affordability also needs to be considered in the light of the expected increases in power costs now predicted worldwide for the coming years and decades.
There are many limitations to this early study. Although solar radiation varies widely by season, year, and global geographic location, making forward radiation predictions inexact, regional meteorology service charts still permit a reasonable estimation. Solar-assisted dialysis will be clearly more financially justifiable for some services than others, because the variability of solar exposure and the vagaries of billing and reimbursement schemes dictate applicability. These issues and others are beyond the control of dialysis services. In addition, because we chose to apply this project at our HTU, an area dependent on home training and home respite demand, machine and RO usages were both less predictable and less regularly demanding compared with a fully operational maintenance dialysis facility.
We believe that all Australian HD services should perform a simple mathematical calculation to assess the applicability of solar-assisted power for their dialysis unit(s). Furthermore, similar assessments should be made in the light of local circumstance, wherever dialysis is delivered.
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