E cove software

After e-invoicing has been standardized throughout Europe, many big companies start to realize that the transition is definitely worth it. In Vattenfall's experience , you can read about how they tremendously simplified their invoicing process. Eventually we looked for a light solution to simplify the invoicing process. Storecove turned out to be the best solution. We could easily implement their e-invoice software without high costs. In addition, customers can receive both by e-invoicing as well as the traditional way.

Also Eneco, a Dutch energy provider, is incredibly positive about their transition to e-invoicing with Storecove. You can read the full article here. You can easily get started by following the steps below. First, make sure you have a Peppol ID. This ID makes it possible to send electronic invoices over the protected Peppol Network.

Do you need to send e-invoices to international companies or public entities? You can use Storecove for safely sending your UBL invoices worldwide. We convert your invoice format to the format required by the receiver. This makes you able to send e-invoices to companies and governments in many countries , such as:.

Want to try the Peppol network for free? Test now with a free invoice. One connection, global connectivity. The what, the how and the why: Why is it mandatory to send electronic invoices to the authorities? What is an electronic invoice? How can I send e-invoices to government authorities? What are the benefits of electronic invoices? How Vattenfall easily simplified their invoicing process Want to send e-invoices yourself? More information about electronic invoicing.

Using an international E-invoicing platform Why is it mandatory to send electronic invoices to the government? This creates a lot of efficiency both in the long and short term. Be aware though that you should consider a number of things in advance: To send e-invoices over the protected European network, you must first request a Peppol ID.

To contextualize this for our readers, these were the designs formerly known as Gracemont and Goldencove. We will let the Intel experts explain the architecture this time:. Our primary goal was to build the world's most efficient x86 CPU core. We also set an aggressive silicon area target so that multi-core workloads could be scaled out using as many cores as necessary with these architectural anchors in place.

We also wanted to deliver a wide frequency range. This allows us to save power by running at low voltage and creates headroom to increase frequency and ramp up performance for more demanding workloads. We wanted to provide a rich ISA features such as advanced vector and AI instructions that accelerate modern workloads. I am pleased to say that we delivered on all of our goals and it is my honor to introduce Intel's, newest efficient x86 core microarchitecture.

Thanks to a deep front end, a wide back end, and a design optimized to take advantage of Intel 7, this CPU core delivers a breakthrough in multi core performance.

Let's now dive deeper into the details, starting with the front. The first aspect in driving efficient IPC, is to make sure we can process instructions as quickly as possible. This starts with accurate branch prediction. Without accurate branch prediction, much of the work ends up being unused, which is wasteful.

We implemented a 5, entry branch target count. We complemented it with a long history based branch prediction. This helps us quickly generate accurate instruction pointers. With accurate branch prediction things like instruction cache misses can be discovered and remedied early before becoming critical to program execution.

Workloads, like web browsers, databases, packet processing, these all benefit from these capabilities. We also have a 64 kilobyte instruction cache. That keeps the most useful instructions close without expending power in the memory subsystem.

This micro architecture features Intel's first on-demand instruction length decoder which generates pre decode information that's stored alongside the instruction cache. This gives us the best combination of characteristics. Where the code that has never been seen before is decoded quickly.

The next time it's executed. We bypass the length of the decoder and save energy. The new core also features Intel's revolutionary clustered out of order decoder, that enables decoding up to six instructions per cycle, while maintaining the energy efficiency of a much narrower core.

The second main aspect to achieving performance is ensuring you extract, any parallelism inherent in the program. With five wide allocation, a wide retire, a entries out of order window and 17 execution ports, this microarchitecture delivers more general IPC than Intel Skylake core while consuming a fraction of the power.

The execution ports are scaled to the unique requirements of each unit which maximizes both performance and energy efficiency. Four general-purpose integer execution ports are complemented by dual integer multipliers and dividers. We can also resolve two branches per cycle.

Two symmetric floating point pipelines allow executing two independent, add or multiply operations. Thanks to Advanced Vector extensions. We can also execute two floating-point multiply add instructions per cycle. Advanced crypto units round out the vector stack, which provide AES and Shaw acceleration. Now, the final aspect to achieving efficient performance, is a fast memory subsystem.

Two load pipelines, plus two store pipelines, enable 32 byte read and 32 byte bandwidth at the same time. Users can also check if the project is achieving any LEED points for energy.

At the top of the page, users can generate a report to share the results, including helpful weather diagrams and some conclusions about the project, with colleagues, consultants, or even the owner. The Water Use page provides the impact of typical water use for the building type. Users can quickly discover how options like low flow fixtures and the potential number of LEED points it can yield. Site water use is also calculated for stormwater management and irrigation WUI. Along with calculating WUI, the water use page in cove.

The water calculations compare two performance rates of low performance baseline , and high performance WaterSense fixtures , which result in only two possible performance outcomes. One, if the project meets baseline performance, it receives zero LEED points as it did not reduce the baseline performance. Two, all fixtures are WaterSense labeled and offer a Another feature cove. This information is best used in every phase of design when selecting fixtures.

It is critical to conserving energy and water use, thus resulting in a better performing building. Here is a short read pro-tip of how to best use the water feature. Architects who understand the passive impacts of climate will be better able to deliver cost-effective, energy-efficient buildings. Designing with passive strategies is about understanding the constraints and creating design responses that do not require active mechanical systems.

Examples include using ambient energy sources to cool, heat, shade, or ventilate a building space. The challenge with designing for passive strategies is that they must be incorporated in the early stages of the process if they are to be effective. Some older software packages optimize by component, optimizing first for wall, then for glass and so on.

The key challenge with this flawed methodology is that this means every time a decision is made, it eliminates all the other possibilities. This is a classic decision tree problem, which is why cove. The optimization page allows a user to add new options, change their design objectives, and explore the analysis parameters.

With just 16 decisions with 3 options per decision, a user can quickly have a design space with thousands of possible solutions 3, permutations. No person can look through this degree of complexity, so cove. Many times, users explore comparing wall types for the impact of improving insulation, followed by window types, followed by the impact of improving roof insulation, followed by HVAC and so on.

Since, in a holistic performance exploration, every variable has an impact on each other, cove. For example, a user may discover that, from an overall cost vs energy standpoint, it is better to use higher-performing wall insulation and glass product, while still choosing a slightly lower-performance HVAC.

The Optimization feature in cove. By using cost as a decision-making factor, users can then identify a more cost-effective way to reach a lower energy-demanding design or find the optimal bundles that meet code.

By optimizing, users are able to find how low they can go in terms of energy, LEED points, Payback years, and cost. The more options you give, the more likely the optimization engine will be able to find an even lower EUI and project price tag. The bundle list provides the top performing options for your project with various decisions.

The top Cost vs Energy Optimized bundle is the best possible improvement from the baseline. This bundle is the most ideal combination of products and strategies that out-perform the baseline analysis while getting the most bang for your buck. The bundles which follow are ranked 2nd, 3rd, and so on, to demonstrate their quality in energy performance and low-cost premiums.

Users can select parameters of the bundles by using the mouse to highlight a portion of the vertical axis on the optimization graph, which depicts the range of options you would like to analyze. The selection addition of parameters will automatically reorganize the bundle list to represent the best bundle options that include these parameters.

Click on the axis outside the selected range to reset the graph selection. This graph is one of the most powerful aspects of cove. Many owners are willing to pay thousands of dollars to have this kind of analysis run throughout the project to ensure that they are getting the best building for the cost. Once a user has investigated the range of bundles presented, the bundles studied can be modified by using the tabs. A user can select from the list of following categories to enter, edit, add, and delete options.

Behind the 7 tabs lies each individual energy modeling input. Once inside an input tab, each tab will be broken up into sections, which will then list out the currently existing options. Once a user has re-run the project to reflect the updated options, they can save the final report.

The pdf report will contain all the information that was generated throughout the cove. Similar to the Baseline Report, the final report will have the energy use analysis with baseline results and targets, the climate analysis and passive strategies, and facade guidance results.

Now you know the way to becoming a climate champion and energy guru for your projects using cove. Here is a great summary of 5 ways to discuss building performance for your next project to share with your team. To complete the cove. A video tutorial and a list of helpful articles are provided for each plug-in. For Manufacturers. Resource Center. Training Sessions. Case Studies. User Spotlight. Subscribe to Newsletter.

We Support. Let's get started with the cove. Feel free to read through or have your cove. You can set up a free trial to get started. Why you need cove. When would I use cove.